default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLeyi Wei
Person information
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
showing all ?? records
2020 – today
- 2026
[j135]Hancun Yang, Hengjun Guo, Guanlin Liu, Linkuan Zhou, Junlin Xu, Leyi Wei, Ran Su, Qiangguo Jin:
A survey on unsupervised domain adaptation in medical imaging: Methods, datasets, and future outlook. Appl. Soft Comput. 199: 115314 (2026)- [j134]Xurong Chen, Hong Yu, Hui Cui
, Changming Sun, Leyi Wei, Ran Su, Xiaoqing Zhao, Xikang Feng, Qiangguo Jin:
ADSA-Net+: Atopic dermatitis severity assessment from smartphone images based on spatial contextual attention and hard sample oriented contrastive learning. Appl. Soft Comput. 199: 115322 (2026) - [j133]Jing Li, Leyi Wei, Henry H. Y. Tong, Quan Zou:
Quantum computing applications in drug discovery. Briefings Bioinform. 27(3) (2026) - [j132]Zhongyu He, Xiangrong Liu, Yinghui Jiang, Junlin Xu, Yuan Lin, Shuting Jin, Leyi Wei, Youyu Wang:
HKD-CPI: high-order knowledge distillation enhanced inductive compound-protein interaction prediction. Bioinform. 42(6) (2026) - [j131]Yue Cheng, Jianbo Qiao, Siqi Chen, Leyi Wei, Guangmin Liang:
TK-DDI: Accurate and efficient drug-drug interaction prediction via token encoding. Comput. Biol. Chem. 120: 108734 (2026) - [j130]Hua Shi, Ding Yi, Yang Cui, Ruheng Wang, Yan Li, Chunyan Ao, Ruihua Guo, Weihang Zhang, Tao Peng, Yuying Le, Yaxuan Cui, Leyi Wei:
DiffuScope: A diffusion-regularized autoencoder for spatial transcriptomic clustering. Comput. Biol. Chem. 120: 108746 (2026) - [j129]Changhang Lin, Shuwen Xiong, Jinjin Li, Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei:
PepGraphormer: an ESM-GAT hybrid deep learning framework for antimicrobial peptide prediction. J. Cheminformatics 18(1): 15 (2026) - [j128]Yiyang Zhao, Xingchen Liu, Peilin Xie, Jiahui Guan, Zhihao Zhao, Junwen Wang, Tzong-Yi Lee, Ying-Chih Chiang, Leyi Wei, Xiangrong Liu, Lantian Yao:
Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins. J. Cheminformatics 18(1): 58 (2026) - [j127]Hua Shi, Yuzhe Wang, Shouzhen Song, Kefei Li, Wenjia Gao, Shuan Liu, Jianbo Qiao, Leyi Wei:
CataCon: a contrastive graph representation learning framework for catalyst prediction. J. Cheminformatics 18(1): 92 (2026) - [j126]Guanjie Song, Zhenjie Luo, Aoyun Geng, Junlin Xu, Yajie Meng, Feifei Cui, Leyi Wei, Quan Zou, Zilong Zhang:
Protein Solubility Prediction Using Fused Graph Convolutional Networks and Improved Attention Networks with AlphaFold3-Derived Features. J. Chem. Inf. Model. 66(2): 894-909 (2026) - [j125]Yiping Liu, Zhou Yu, Jiayi Zhang, Yujie Chen, Shu Wu, Leyi Wei, Xiangxiang Zeng, Yuyan Han, Yuansheng Liu:
Enhancing Retrosynthesis Prediction with Distillation Learning. J. Chem. Inf. Model. 66(7): 3774-3786 (2026) - [j124]Yongqiu Lin, Lian Shen, Zhongyu He, Jinjin Li, Xiaorui Kang, Chen Su, Changhang Lin, Xiangrong Liu, Leyi Wei:
Precision-Guarded Graph-Text Alignment for Universal Chemical Understanding. J. Chem. Inf. Model. 66(11): 6801-6808 (2026) - [j123]Yan Xia, An Xiong, Yike Wang, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Feifei Cui, Zilong Zhang, Xiulai Li:
MPMFMol: Multitask Self-Supervised Pretraining with Multimodal Fine-Tuning for Molecular Property Prediction. J. Chem. Inf. Model. 66(12): 6855-6865 (2026) - [j122]Kefei Li, Jianbo Qiao, Yuntao Yang, Hanjun Zhao, Ding Wang, Junru Jin, Zhongmin Yan, Leyi Wei:
FGSGT-DDI: An LLM-Enhanced Functional Group Semantic Graph Transformer for Drug-Drug Interaction Prediction. J. Chem. Inf. Model. 66(15): 9482-9494 (2026) - [j121]Feng Wang, Bowen Shi, Yuxuan Gu, Fangyi Liu, Zhihao Zhao, Xingchen Liu, Xiangrong Liu, Tzong-Yi Lee, Leyi Wei, Jiahui Guan, Peilin Xie, Jijun Tang, Lantian Yao:
An Interpretable Deep Learning Framework Leveraging RNA Foundation Model and Capsule Networks for Accurate Prediction of RNA 2′-O-Methylation Sites. J. Chem. Inf. Model. 66(15): 9651-9662 (2026) - [j120]Ziyuan Yan, Aoyun Geng, Yazi Li, Jiajing Wang, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Zilong Zhang, Feifei Cui:
CNNCaps-DBP: Leveraging protein language models with attention-augmented convolution for DNA-binding protein prediction. Neural Networks 195: 108261 (2026) - [j119]Yan Xia, Yazi Li, Shuting Jin, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Xin Gao, Feifei Cui:
MFDL-DDI: An effective deep learning-based framework for predicting drug-drug interactions through multimodal information fusion. Pattern Recognit. 178: 113431 (2026) - [j118]Jinwei Wang, Zhenjie Luo, Aoyun Geng, Junlin Xu, Yajie Meng, Shankai Yan, Leyi Wei, Zilong Zhang, Qingchen Zhang, Quan Zou, Feifei Cui:
DeepNhKcr: Explainable Deep Learning Framework for the Prediction of Crotonylation Sites of Non-Histone Lysine in Plants Based on Pre-Trained Protein Language Model. IEEE Trans. Comput. Biol. Bioinform. 23(1): 326-340 (2026) - [j117]Shuwen Xiong, Feifei Cui, Zilong Zhang, Rao Zeng, Ran Su, Leyi Wei:
A Multi-Modal Contrastive Learning Framework for Cyclic Peptide Permeability Prediction. IEEE Trans. Comput. Biol. Bioinform. 23(1): 362-373 (2026) - [j116]Jiahao Yuan, Shun Gao, Ziyuan Yan, Feifei Cui, Leyi Wei, Qingchen Zhang, Quan Zou, Zilong Zhang:
DeepR2OM: Accurate Recognition for RNA 2′-O-Methylation Sites in Human Genome Using Deep Learning. IEEE Trans. Comput. Biol. Bioinform. 23(1): 419-431 (2026) - [j115]Zhongshen Li, Jixiang Yu, Shen You, Hao Liu, Luyang Cai, Yuxuan Deng, Leyi Wei, Junkai Ji, Qiuzhen Lin, Xiangtao Li, Ka-Chun Wong:
METRON: Metabolic Dynamic Perception Kolmogorov-Arnold Network for Biological Age Estimation. IEEE Trans. Comput. Biol. Bioinform. 23(3): 1148-1159 (2026) - [j114]Xianyao Zheng, Hong Yu, Hui Cui, Changming Sun, Xiangyu Li, Ran Su, Leyi Wei, Jia Zhou, Junbo Wang, Qiangguo Jin:
KG-CMI: Knowledge Graph Enhanced Cross-Mamba Interaction for Medical Visual Question Answering. IEEE Trans. Ind. Informatics 22(7): 6313-6324 (2026) - [j113]Yuan He, Kaimiao Hu, Changming Sun, Leyi Wei, Ran Su:
PGST: A Prototype-Guided Parameter-Efficient Network for Spatial Transcriptomics Prediction. IEEE J. Biomed. Health Informatics 30(8): 6513-6525 (2026) - [c11]Yujie Chen, Tengfei Ma, Yuansheng Liu, Leyi Wei, Shu Wu, Dongsheng Cao, Yiping Liu, Xiangxiang Zeng:
TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction. AAAI 2026: 119-127 - [i17]Linkuan Zhou, Yinghao Xia, Yufei Shen, Xiangyu Li, Wenjie Du, Cong Cong, Leyi Wei, Ran Su, Qiangguo Jin:
SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation. CoRR abs/2603.21904 (2026) - [i16]Xianyao Zheng, Hong Yu, Hui Cui, Changming Sun, Xiangyu Li, Ran Su, Leyi Wei, Jia Zhou, Junbo Wang, Qiangguo Jin:
KG-CMI: Knowledge graph enhanced cross-Mamba interaction for medical visual question answering. CoRR abs/2604.00601 (2026) - [i15]Zhongyu He, Yuanfan Li, Fei Huang, Tianyu Chen, Siyuan Chen, Xingyang Li, Meng Hsuan Yu, Xiangrong Liu, Leyi Wei, Lu Pan, Ke Zeng, Xunliang Cai:
SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training. CoRR abs/2606.02355 (2026) - 2025
- [j112]Ke Wu, Changming Sun, Jie Geng, Ping Wang, Qi Dai, Leyi Wei, Ran Su:
Iterative clustering algorithm G-DESC-E and pan-cancer key gene analysis based on single-cell sequencing data. Briefings Bioinform. 26(4) (2025) - [j111]Junlei Yu, Wenjia Gao, Siqi Chen, Ronglin Lu, Jianbo Qiao, Junru Jin, Leyi Wei, Hua Shi, Zilong Zhang, Feifei Cui, Xinbo Jiang, Zhongmin Yan:
MCAMEF-BERT: an efficient deep learning method for RNA N7-methylguanosine site prediction via multi-branch feature integration. Briefings Bioinform. 26(5) (2025) - [j110]Kaimiao Hu, Jianguo Wei, Changming Sun, Jie Geng, Leyi Wei, Qi Dai, Ran Su:
Synergizing multimodal data and fingerprint space exploration for mechanism of action prediction. Bioinform. 41(6) (2025) - [j109]Ruiqi Liu, Shankai Yan, Zilong Zhang, Junlin Xu, Yajie Meng, Qingchen Zhang, Leyi Wei, Quan Zou, Feifei Cui:
PLM-IL4: Enhancing IL-4-inducing peptide prediction with protein language model. Comput. Biol. Chem. 118: 108448 (2025) - [j108]Jianbo Qiao, Wenjia Gao, Junru Jin, Ding Wang, Xu Guo, Balachandran Manavalan, Leyi Wei:
Molecular pretraining models towards molecular property prediction. Sci. China Inf. Sci. 68(7) (2025) - [j107]Qiangguo Jin, Ankang Wu, Leyi Wei, Hui Cui, Ping Xuan, Xikang Feng, Ran Su:
PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network. Eng. Appl. Artif. Intell. 160: 111743 (2025) - [j106]Nguyen Doan Hieu Nguyen, Nhat Truong Pham, Duong Thanh Tran, Leyi Wei, Adeel Malik, Balachandran Manavalan:
xBitterT5: an explainable transformer-based framework with multimodal inputs for identifying bitter-taste peptides. J. Cheminformatics 17(1): 127 (2025) - [j105]Jinjin Li, Fang Fang, Changhang Lin, Hua Shi, Feifei Cui, Zilong Zhang, Leyi Wei:
ProjFusNet: deep neural network for peptide precursor prediction using projection-fused protein language model and structural features. J. Cheminformatics 17(1): 179 (2025) - [j104]Aoyun Geng, Zhenjie Luo, Aohan Li, Zilong Zhang, Quan Zou, Leyi Wei, Feifei Cui:
ACP-CLB: An Anticancer Peptide Prediction Model Based on Multichannel Discriminative Processing and Integration of Large Pretrained Protein Language Models. J. Chem. Inf. Model. 65(5): 2336-2349 (2025) - [j103]Shuwen Xiong, Jiajie Cai, Hua Shi, Feifei Cui, Zilong Zhang, Leyi Wei:
UMPPI: Unveiling Multilevel Protein-Peptide Interaction Prediction via Language Models. J. Chem. Inf. Model. 65(7): 3789-3799 (2025) - [j102]Jinjin Li, Shuwen Xiong, Hua Shi, Feifei Cui, Zilong Zhang, Leyi Wei:
NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional Networks. J. Chem. Inf. Model. 65(9): 4740-4750 (2025) - [j101]Na Li, Jianbo Qiao, Fei Gao, Yanling Wang, Hua Shi, Zilong Zhang, Feifei Cui, Lichao Zhang, Leyi Wei:
GICL: A Cross-Modal Drug Property Prediction Framework Based on Knowledge Enhancement of Large Language Models. J. Chem. Inf. Model. 65(11): 5518-5527 (2025) - [j100]Yuanhao Li, Aoyun Geng, Zheyu Zhou, Feifei Cui, Junlin Xu, Yajie Meng, Leyi Wei, Quan Zou, Qingchen Zhang, Zilong Zhang:
AVP-HNCL: Innovative Contrastive Learning with a Queue-Based Negative Sampling Strategy for Dual-Phase Antiviral Peptide Prediction. J. Chem. Inf. Model. 65(12): 5868-5886 (2025) - [j99]Changhang Lin, Shuwen Xiong, Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei:
Deep Learning in Antimicrobial Peptide Prediction. J. Chem. Inf. Model. 65(14): 7373-7392 (2025) - [j98]Yanling Wang, Na Li, Xiao Wang, Feng Cao, Shuwen Xiong, Leyi Wei:
Integrating Protein Language Models and Geometric Deep Learning for Peptide Toxicity Prediction. J. Chem. Inf. Model. 65(14): 7800-7810 (2025) - [j97]Xinyu Li, Zhenjie Luo, Jingwei Lv, Chao Yang, Shankai Yan, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Feifei Cui:
m5U-HybridNet: Integrating an RNA Foundation Model with CNN Features for Accurate Prediction of 5-Methyluridine Modification Sites. J. Chem. Inf. Model. 65(15): 8079-8096 (2025) - [j96]Qianmao Wen, Aoyun Geng, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Feifei Cui:
DeepMaT: Prediction of Target Peptide Classification and Cleavage Site by Combining Mamba2 and Multiple Attention Mechanisms. J. Chem. Inf. Model. 65(19): 10011-10024 (2025) - [j95]Zhongyan Zhao, Bin Li, Haochen Zuo, Ruibing Chen, Rui Deng, Jie Geng, Changming Sun, Leyi Wei, Mingxiao Lang, Ran Su:
TCN-RDP: Predicting Drug-Induced Liver Injury from Time-Series Toxicogenomic Data. J. Chem. Inf. Model. 65(20): 11486-11496 (2025) - [j94]Xingqiao Lin, Jiahui Guan, Feng Wang, Peilin Xie, Yiyang Zhao, Zhihao Zhao, Mingyi Xiang, Leyi Wei, Xiangrong Liu, Tzong-Yi Lee, Ying-Chih Chiang, Junwen Wang, Lantian Yao:
AFPDeepPred: A Deep Learning Framework for Accurate Identification of Antifreeze Proteins. J. Chem. Inf. Model. 65(22): 12256-12267 (2025) - [j93]Jiaxing Song, Aoyun Geng, Qianmao Wen, Junlin Xu, Yajie Meng, Feifei Cui, Quan Zou, Leyi Wei, Zilong Zhang:
AcidProNet: Acidophilic Protein Classification via DCGAN-GP-Based Data Augmentation and Parameter-Shared Mixture-of-Experts Transformer. J. Chem. Inf. Model. 65(24): 13145-13162 (2025) - [j92]Zhongshen Li, Jixiang Yu, Shen You, Leyi Wei, Qiuzhen Lin, Xiangtao Li, Ka-Chun Wong:
Elucidating spatiotemporal chromatin dynamics with multi-stage differential variations from Hi-C. Knowl. Based Syst. 317: 113516 (2025) - [j91]Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su:
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. Knowl. Based Syst. 324: 113785 (2025) - [j90]Jianbo Qiao, Xu Guo, Junru Jin, Ding Wang, Kefei Li, Wenjia Gao, Feifei Cui, Zilong Zhang, Hua Shi, Leyi Wei:
Taco-DDI: accurate prediction of drug-drug interaction events using graph transformer-based architecture and dynamic co-attention matrices. Neural Networks 189: 107655 (2025) - [j89]Fengsheng Wang, Jianbo Qiao, Xu Guo, Leyi Wei:
MC-MSTLoc: Self-Supervised Pre-Training for Imbalanced Multi-Label Protein Subcellular Localization Prediction Using Immunofluorescence Images. IEEE Trans. Comput. Biol. Bioinform. 22(4): 1716-1726 (2025) - [j88]Jiayue Hu, Yuhang Liu, Xiangxiang Zeng, Quan Zou, Ran Su, Leyi Wei:
Multi-Modal Deep Representation Learning Accurately Identifies and Interprets Drug-Target Interactions. IEEE J. Biomed. Health Informatics 29(7): 5350-5360 (2025) - [j87]Quan Zou, Limin Jiang, Leyi Wei:
Guest Editorial: Large Language Models With Applications in Bioinformatics and Biomedicine. IEEE J. Biomed. Health Informatics 29(10): 6957-6959 (2025) - [j86]Kaimiao Hu, Yuan He, Jianguo Wei, Changming Sun, Jie Geng, Leyi Wei, Ran Su:
BFGTP: A BERT-Guided Two-Stage Molecular Representation Learning Framework for Toxicity Prediction. IEEE J. Biomed. Health Informatics 29(10): 6960-6970 (2025) - [j85]Ruheng Wang, Xuetong Yang, Chao Pang, Leyi Wei:
A Multi-Objective Comprehensive Framework for Predicting Protein-Peptide Interactions and Binding Residues. IEEE J. Biomed. Health Informatics 29(11): 7884-7895 (2025) - [j84]Chao Yang, Xiuhao Fu, Zhenjie Luo, Leyi Wei, Jingbing Li, Feifei Cui, Quan Zou, Qingchen Zhang, Zilong Zhang:
GCNLA: Inferring Cell-Cell Interactions From Spatial Transcriptomics With Long Short-Term Memory and Graph Convolutional Networks. IEEE J. Biomed. Health Informatics 29(11): 8560-8571 (2025) - [j83]Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Xiaojun Yao, Quan Zou, Xiangxiang Zeng, Ran Su, Leyi Wei:
Multiview Deep Learning-Based Molecule Design and Structural Optimization Accelerates Inhibitor Discover. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14022-14036 (2025) - [c10]Qiangguo Jin, Xurong Chen, Hui Cui, Changming Sun, Youpeng Deng, Cong Cong, Yuqi Fang, Ran Su, Leyi Wei, Xiaoqing Zhao:
ADSA-Net: Addressing Intra- and Inter-Class Variabilities for Severity Assessment of Atopic Dermatitis. BIBM 2025: 2329-2334 - [c9]Qiangguo Jin, Xianyao Zheng, Hui Cui, Changming Sun, Yuqi Fang, Cong Cong, Ran Su, Leyi Wei, Ping Xuan, Junbo Wang:
CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering. PG (Short Papers, Posters, and Demos) 2025 - [i14]Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su:
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. CoRR abs/2508.04044 (2025) - [i13]Linkuan Zhou, Zhexin Chen, Yufei Shen, Junlin Xu, Ping Xuan, Yixin Zhu, Yuqi Fang, Cong Cong, Leyi Wei, Ran Su, Jia Zhou, Qiangguo Jin:
ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images. CoRR abs/2508.19815 (2025) - [i12]Qiangguo Jin, Xianyao Zheng, Hui Cui, Changming Sun, Yuqi Fang, Cong Cong, Ran Su, Leyi Wei, Ping Xuan, Junbo Wang:
CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering. CoRR abs/2511.01357 (2025) - [i11]Shuting Jin, Yi Jiang, Yimin Liu, Tengfei Ma, Dong-Sheng Cao, Leyi Wei, Xiangrong Liu, Xiangxiang Zeng:
DeepDR: an integrated deep-learning model web server for drug repositioning. CoRR abs/2511.08921 (2025) - 2024
- [j82]Yitian Fang, Mingshuang Luo, Zhixiang Ren, Leyi Wei, Dong-Qing Wei:
CELA-MFP: a contrast-enhanced and label-adaptive framework for multi-functional therapeutic peptides prediction. Briefings Bioinform. 25(4) (2024) - [j81]Wenyu Zhang, Yijie Ding, Leyi Wei, Xiaoyi Guo, Fengming Ni:
Therapeutic peptides identification via kernel risk sensitive loss-based k-nearest neighbor model and multi-Laplacian regularization. Briefings Bioinform. 25(6) (2024) - [j80]Ding Wang, Junru Jin, Zhongshen Li, Yu Wang, Mushuang Fan, Sirui Liang, Ran Su, Leyi Wei:
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides. Bioinform. 40(2) (2024) - [j79]Chenglin Yin, Ruheng Wang, Jianbo Qiao, Hua Shi, Hongliang Duan, Xinbo Jiang, Saisai Teng, Leyi Wei:
NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection. Bioinform. 40(2) (2024) - [j78]Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su:
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Syst. Appl. 238(Part E): 122093 (2024) - [j77]Jianbo Qiao, Junru Jin, Haoqing Yu, Leyi Wei:
Towards retraining-free RNA modification prediction with incremental learning. Inf. Sci. 660: 120105 (2024) - [j76]Haoqing Yu, Ruheng Wang, Jianbo Qiao, Leyi Wei:
Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design. J. Chem. Inf. Model. 64(1): 316-326 (2024) - [j75]Jiashuo Zhang, Ruheng Wang, Leyi Wei:
MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins. J. Chem. Inf. Model. 64(3): 1050-1065 (2024) - [j74]Chao Pang, Jianbo Qiao, Xiangxiang Zeng, Quan Zou, Leyi Wei:
Deep Generative Models in De Novo Drug Molecule Generation. J. Chem. Inf. Model. 64(7): 2174-2194 (2024) - [j73]Xuetong Yang, Junru Jin, Ruheng Wang, Zhongshen Li, Yu Wang, Leyi Wei:
CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only. J. Chem. Inf. Model. 64(7): 2807-2816 (2024) - [j72]Tianshuo Wang, Ruheng Wang, Leyi Wei:
AttenSyn: An Attention-Based Deep Graph Neural Network for Anticancer Synergistic Drug Combination Prediction. J. Chem. Inf. Model. 64(7): 2854-2862 (2024) - [j71]Yanxi Zhao, Junru Jin, Wenjia Gao, Jianbo Qiao, Leyi Wei:
Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction. J. Chem. Inf. Model. 64(15): 6230-6240 (2024) - [c8]Ran Su, Jin Xiao, Hui Cui, Ping Xuan, Xikang Feng, Leyi Wei, Qiangguo Jin:
MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction. BIBM 2024: 2438-2445 - [c7]Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu:
Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones. MICCAI (11) 2024: 405-414 - [i10]Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su:
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. CoRR abs/2403.12767 (2024) - [i9]Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu:
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones. CoRR abs/2407.00431 (2024) - 2023
- [j70]Yitian Fang, Fan Xu, Lesong Wei, Yi Jiang, Jie Chen, Leyi Wei, Dong-Qing Wei:
AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning. Briefings Bioinform. 24(1) (2023) - [j69]Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei:
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24(1) (2023) - [j68]Cheng Wang, Chuang Yuan, Yahui Wang, Ranran Chen, Yuying Shi, Tao Zhang, Fuzhong Xue, Gary J. Patti, Leyi Wei, Qingzhen Hou:
MPI-VGAE: protein-metabolite enzymatic reaction link learning by variational graph autoencoders. Briefings Bioinform. 24(4) (2023) - [j67]Zhongshen Li, Junru Jin, Wenjia He, Wentao Long, Haoqing Yu, Xin Gao, Kenta Nakai, Quan Zou, Leyi Wei:
CoraL: interpretable contrastive meta-learning for the prediction of cancer-associated ncRNA-encoded small peptides. Briefings Bioinform. 24(6) (2023) - [j66]Zhongshen Li, Junru Jin, Yu Wang, Wentao Long, Yuanhao Ding, Haiyan Hu, Leyi Wei:
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides. Bioinform. 39(3) (2023) - [j65]Yitian Fang, Yi Jiang, Leyi Wei, Qin Ma, Zhixiang Ren, Qianmu Yuan, Dong-Qing Wei:
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model. Bioinform. 39(12) (2023) - [j64]Jiayue Hu, Yu Wang, Chao Pang, Junru Jin, Nhat Truong Pham, Balachandran Manavalan, Leyi Wei:
DrugormerDTI: Drug Graphormer for drug-target interaction prediction. Comput. Biol. Medicine 161: 106946 (2023) - [j63]Saisai Teng, Chenglin Yin, Yu Wang, Xiandong Chen, Zhongmin Yan, Lizhen Cui, Leyi Wei:
MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. Comput. Biol. Medicine 164: 106904 (2023) - [j62]Sirui Liang, Yanxi Zhao, Junru Jin, Jianbo Qiao, Ding Wang, Yu Wang, Leyi Wei:
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications. Comput. Biol. Medicine 164: 107238 (2023) - [j61]Zhongshen Li, Junru Jin, Wentao Long, Leyi Wei:
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model. Comput. Biol. Medicine 164: 107260 (2023) - [j60]Qingxin Wei, Ruheng Wang, Yi Jiang, Leyi Wei, Yu Sun, Jie Geng, Ran Su:
ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. Comput. Biol. Medicine 167: 107631 (2023) - [j59]Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei:
MolCAP: Molecular Chemical reActivity Pretraining and prompted-finetuning enhanced molecular representation learning. Comput. Biol. Medicine 167: 107666 (2023) - [j58]Shuting Jin, Yue Hong, Li Zeng, Yinghui Jiang, Yuan Lin, Leyi Wei, Zhuohang Yu, Xiangxiang Zeng, Xiangrong Liu:
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. PLoS Comput. Biol. 19(11) (2023) - [j57]Chao Pang, Henry H. Y. Tong, Leyi Wei:
Advanced deep learning methods for molecular property prediction. Quant. Biol. 11(4): 395-404 (2023) - [c6]Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su:
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. BIBM 2023: 1188-1193 - [c5]Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B. L. Duh, Yu-Pin Chen:
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. MICCAI (6) 2023: 85-94 - [i8]Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei:
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning. CoRR abs/2306.09187 (2023) - 2022
- [j56]Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei:
Accelerating bioactive peptide discovery via mutual information-based meta-learning. Briefings Bioinform. 23(1) (2022) - [j55]Ran Su, Yingying Zhu, Quan Zou, Leyi Wei:
Distant metastasis identification based on optimized graph representation of gene interaction patterns. Briefings Bioinform. 23(1) (2022) - [j54]Ran Su, Yixuan Huang, De-gan Zhang, Guobao Xiao, Leyi Wei:
SRDFM: Siamese Response Deep Factorization Machine to improve anti-cancer drug recommendation. Briefings Bioinform. 23(2) (2022) - [j53]Hao Wu, Pengyu Zhang, Zhaoheng Ai, Leyi Wei, Hongming Zhang, Fan Yang, Lizhen Cui:
StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies. Briefings Bioinform. 23(2) (2022) - [j52]Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei:
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. Bioinform. 38(6): 1514-1524 (2022) - [j51]Fengsheng Wang, Leyi Wei:
Multi-scale deep learning for the imbalanced multi-label protein subcellular localization prediction based on immunohistochemistry images. Bioinform. 38(9): 2602-2611 (2022) - [j50]Ruheng Wang, Junru Jin, Quan Zou, Kenta Nakai, Leyi Wei:
Predicting protein-peptide binding residues via interpretable deep learning. Bioinform. 38(13): 3351-3360 (2022) - [j49]Qiaosen Su, Fengsheng Wang, Dong Chen, Gang Chen, Chao Li, Leyi Wei:
Deep convolutional neural networks with ensemble learning and transfer learning for automated detection of gastrointestinal diseases. Comput. Biol. Medicine 150: 106054 (2022) - [j48]Jiaqi Liao, Haoyang Chen, Lesong Wei, Leyi Wei:
GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information. Comput. Biol. Medicine 150: 106145 (2022) - [j47]Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei:
EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images. Expert Syst. Appl. 206: 117643 (2022) - [j46]Kenta Nakai, Leyi Wei:
Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics. Frontiers Bioinform. 2 (2022) - [j45]Zhen Zhong, Guobao Xiao, Shiping Wang, Leyi Wei, Xiaoqin Zhang:
PESA-Net: Permutation-Equivariant Split Attention Network for correspondence learning. Inf. Fusion 77: 81-89 (2022) - [j44]Ran Su, Haitang Yang, Leyi Wei, Siqi Chen, Quan Zou:
A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. PLoS Comput. Biol. 18(9): 1010402 (2022) - [j43]Guobao Xiao, Huan Luo, Kun Zeng, Leyi Wei, Jiayi Ma:
Robust Feature Matching for Remote Sensing Image Registration via Guided Hyperplane Fitting. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c4]Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su:
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. MICCAI (2) 2022: 3-13 - [i7]Yu Wang, Chao Pang, Yuzhe Wang, Yi Jiang, Junru Jin, Sirui Liang, Quan Zou, Leyi Wei:
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning. CoRR abs/2210.02630 (2022) - [i6]Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei:
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images. CoRR abs/2210.05258 (2022) - [i5]Fengsheng Wang, Leyi Wei:
MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization. CoRR abs/2211.03140 (2022) - [i4]Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei:
Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery. CoRR abs/2212.01575 (2022) - 2021
- [j42]Feifei Cui, Quan Zou, Qin Ma, Leyi Wei, Jijun Tang, Dariusz Mrozek:
IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis. IEEE Access 9: 33110-33119 (2021) - [j41]Ran Su, Huichen Wu, Xinyi Liu, Leyi Wei:
Predicting drug-induced hepatotoxicity based on biological feature maps and diverse classification strategies. Briefings Bioinform. 22(1): 428-437 (2021) - [j40]Jing Li, Leyi Wei, Fei Guo, Quan Zou:
EP3: an ensemble predictor that accurately identifies type III secreted effectors. Briefings Bioinform. 22(2): 1918-1928 (2021) - [j39]Chichi Dai, Pengmian Feng, Lizhen Cui, Ran Su, Wei Chen, Leyi Wei:
Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites. Briefings Bioinform. 22(4) (2021) - [j38]Ran Su, Linlin He, Tianling Liu, Xiaofeng Liu, Leyi Wei:
Protein subcellular localization based on deep image features and criterion learning strategy. Briefings Bioinform. 22(4) (2021) - [j37]Leyi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan:
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Briefings Bioinform. 22(4) (2021) - [j36]Jin Liu, Ran Su, Jiahang Zhang, Leyi Wei:
Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network. Briefings Bioinform. 22(5) (2021) - [j35]Lesong Wei, Xiucai Ye, Yuyang Xue, Tetsuya Sakurai, Leyi Wei:
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. Briefings Bioinform. 22(5) (2021) - [j34]Shaherin Basith, Md. Mehedi Hasan, Gwang Lee, Leyi Wei, Balachandran Manavalan:
Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Briefings Bioinform. 22(6) (2021) - [j33]Xiao Cao, Wenjia He, Zitan Chen, Yifan Li, Kexin Wang, Hongbo Zhang, Lesong Wei, Lizhen Cui, Ran Su, Leyi Wei:
PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture. Briefings Bioinform. 22(6) (2021) - [j32]Yingying Yu, Wenjia He, Junru Jin, Guobao Xiao, Lizhen Cui, Rao Zeng, Leyi Wei:
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization. Bioinform. 37(24): 4603-4610 (2021) - [j31]Wenjia He, Yu Wang, Lizhen Cui, Ran Su, Leyi Wei:
Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides. Bioinform. 37(24): 4684-4693 (2021) - [j30]Zengchao Mu, Ting Yu, Xiaoping Liu, Hongyu Zheng, Leyi Wei, Juntao Liu:
FEGS: a novel feature extraction model for protein sequences and its applications. BMC Bioinform. 22(1): 297 (2021) - [j29]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su:
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Syst. Appl. 176: 114848 (2021) - [j28]Ran Su, Xiaoying Liu, Qiangguo Jin, Xiaofeng Liu, Leyi Wei:
Identification of glioblastoma molecular subtype and prognosis based on deep MRI features. Knowl. Based Syst. 232: 107490 (2021) - [i3]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su:
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. CoRR abs/2104.09699 (2021) - 2020
- [j27]Xiaoli Qiang, Chen Zhou, Xiucai Ye, Pufeng Du, Ran Su, Leyi Wei:
CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning. Briefings Bioinform. 21(1): 11-23 (2020) - [j26]Leyi Wei, Jie Hu, Fuyi Li, Jiangning Song, Ran Su, Quan Zou:
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms. Briefings Bioinform. 21(1): 106-119 (2020) - [j25]Ran Su, Jie Hu, Quan Zou, Balachandran Manavalan, Leyi Wei:
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools. Briefings Bioinform. 21(2): 408-420 (2020) - [j24]Ran Su, Xinyi Liu, Leyi Wei:
MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy-defined energy. Briefings Bioinform. 21(2): 687-698 (2020) - [j23]Ran Su, Xinyi Liu, Guobao Xiao, Leyi Wei:
Meta-GDBP: a high-level stacked regression model to improve anticancer drug response prediction. Briefings Bioinform. 21(3): 996-1005 (2020) - [j22]Fuyi Li, Cunshuo Fan, Tatiana T. Marquez-Lago, André Leier, Jerico Nico De Leon Revote, Cangzhi Jia, Yan Zhu, Alexander Ian Smith, Geoffrey I. Webb, Quanzhong Liu, Leyi Wei, Jian Li, Jiangning Song:
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact. Briefings Bioinform. 21(3): 1069-1079 (2020) - [j21]Bing Rao, Chen Zhou, Guoying Zhang, Ran Su, Leyi Wei:
ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides. Briefings Bioinform. 21(5): 1846-1855 (2020) - [j20]Ran Su, Jiahang Zhang, Xiaofeng Liu, Leyi Wei:
Identification of expression signatures for non-small-cell lung carcinoma subtype classification. Bioinform. 36(2): 339-346 (2020) - [j19]Zengyan Hong, Xiangxiang Zeng, Leyi Wei, Xiangrong Liu:
Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism. Bioinform. 36(4): 1037-1043 (2020) - [j18]Ran Su, Tianling Liu, Changming Sun, Qiangguo Jin, Rachid Jennane, Leyi Wei:
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing 385: 300-309 (2020)
2010 – 2019
- 2019
- [j17]Guobao Xiao, Kun Zeng, Leyi Wei, Tao Wang, Taotao Lai:
Discriminant Affinity Matrix for Deterministic Motion Trajectory Segmentation. IEEE Access 7: 57200-57209 (2019) - [j16]Leyi Wei, Shasha Luan, Luis Augusto Eijy Nagai, Ran Su, Quan Zou:
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. Bioinform. 35(8): 1326-1333 (2019) - [j15]Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee:
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation. Bioinform. 35(16): 2757-2765 (2019) - [j14]Leyi Wei, Chen Zhou, Ran Su, Quan Zou:
PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. Bioinform. 35(21): 4272-4280 (2019) - [j13]Leyi Wei, Ran Su, Shasha Luan, Zhijun Liao, Balachandran Manavalan, Quan Zou, Xiaolong Shi:
Iterative feature representations improve N4-methylcytosine site prediction. Bioinform. 35(23): 4930-4937 (2019) - [j12]Leyi Wei, Ran Su, Bing Wang, Xiuting Li, Quan Zou, Xing Gao:
Integration of deep feature representations and handcrafted features to improve the prediction of N6-methyladenosine sites. Neurocomputing 324: 3-9 (2019) - [j11]Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su:
DUNet: A deformable network for retinal vessel segmentation. Knowl. Based Syst. 178: 149-162 (2019) - [j10]Ran Su, Huichen Wu, Bo Xu, Xiaofeng Liu, Leyi Wei:
Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1231-1239 (2019) - [j9]Leyi Wei, Pengwei Xing, Gaotao Shi, Zhiliang Ji, Quan Zou:
Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1264-1273 (2019) - [c3]Yanzhen Xu, Xiaohan Zhao, Shuai Liu, Shichao Liu, Yanqing Niu, Wen Zhang, Leyi Wei:
LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning. BIBM 2019: 555-562 - [c2]Jianhua Cai, Leyi Wei, Kun Zeng, Guobao Xiao:
Identification and Prediction of Key Nucleotide Sites Using Machine Learning in Bioinformatics: A Brief Overview. ISPA/BDCloud/SocialCom/SustainCom 2019: 1194-1200 - 2018
- [j8]Leyi Wei, Chen Zhou, Huangrong Chen, Jiangning Song, Ran Su:
ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides. Bioinform. 34(23): 4007-4016 (2018) - [j7]Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou:
Prediction of human protein subcellular localization using deep learning. J. Parallel Distributed Comput. 117: 212-217 (2018) - [c1]Ran Su, Weijun Chen, Leyi Wei, Xiuting Li, Qiangguo Jin, Wenyuan Tao:
Encoded Texture Features to Characterize Bone Radiograph Images. ICPR 2018: 3856-3861 - [i2]Qiangguo Jin, Zhao-Peng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su:
DUNet: A deformable network for retinal vessel segmentation. CoRR abs/1811.01206 (2018) - [i1]Qiangguo Jin, Zhao-Peng Meng, Changming Sun, Leyi Wei, Ran Su:
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. CoRR abs/1811.01328 (2018) - 2017
- [j6]Leyi Wei, Pengwei Xing, Jian-Cang Zeng, Jin-Xiu Chen, Ran Su, Fei Guo:
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier. Artif. Intell. Medicine 83: 67-74 (2017) - [j5]Leyi Wei, Shixiang Wan, Jiasheng Guo, Kelvin Kian Loong Wong:
A novel hierarchical selective ensemble classifier with bioinformatics application. Artif. Intell. Medicine 83: 82-90 (2017) - [j4]Leyi Wei, Jijun Tang, Quan Zou:
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. Inf. Sci. 384: 135-144 (2017) - 2016
- [j3]Leyi Wei, Bowen Zhang, Zhiyong Chen, Xing Gao, Minghong Liao:
Exploring local discriminative information from evolutionary profiles for cytokine-receptor interaction prediction. Neurocomputing 217: 37-45 (2016) - [j2]Leyi Wei, Minghong Liao, Xing Gao, Jingjing Wang, Weiqi Lin:
mGOF-loc: A novel ensemble learning method for human protein subcellular localization prediction. Neurocomputing 217: 73-82 (2016) - 2014
- [j1]Leyi Wei, Minghong Liao, Yue Gao, Rongrong Ji, Zengyou He, Quan Zou:
Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 192-201 (2014)
Coauthor Index
[j135] [j134] [j117] [j114] [j113] [i17] [i16] [j112] [j110] [j107] [j95] [j91] [j88] [j86] [j83] [c10] [c9] [i14] [i13] [i12] [j80] [j78] [c8] [c7] [i10] [i9] [j60] [c6] [c5] [j56] [j55] [j54] [j47] [j44] [c4] [i6] [i4] [j41] [j39] [j38] [j37] [j36] [j33] [j31] [j29] [j28] [i3] [j27] [j26] [j25] [j24] [j23] [j21] [j20] [j18] [j16] [j14] [j13] [j12] [j11] [j10] [j8] [j7] [c1] [i2] [i1] [j6]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-08-24 23:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
