DeepAVP: a dual-channel deep neural network for identifying variable-length antiviral peptides J Li, Y Pu, J Tang, Q Zou, F Guo IEEE Journal of Biomedical and Health Informatics 24 (10), 3012-3019, 2020 | 93 | 2020 |
DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences J Li, Y Pu, J Tang, Q Zou, F Guo Briefings in bioinformatics 22 (3), bbaa159, 2021 | 59 | 2021 |
DeepFusionDTA: drug-target binding affinity prediction with information fusion and hybrid deep-learning ensemble model Y Pu, J Li, J Tang, F Guo IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (5 …, 2021 | 40 | 2021 |
Two-Stage Deep Neural Network via Ensemble Learning for Melanoma Classification J Ding, J Song, J Li, J Tang, F Guo Frontiers in Bioengineering and Biotechnology 9, 758495, 2022 | 22 | 2022 |
iEnhancer-KL: A novel two-layer predictor for identifying enhancers by position specific of nucleotide composition Y Lyu, Z Zhang, J Li, W He, Y Ding, F Guo IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (6 …, 2021 | 15 | 2021 |
Melanoma classification in dermoscopy images via ensemble learning on deep neural network J Song, J Li, S Ma, J Tang, F Guo 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 12 | 2020 |
Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution L Jiang, H Yu, J Li, J Tang, Y Guo, F Guo Briefings in Bioinformatics 22 (6), bbab216, 2021 | 11 | 2021 |
SPDB: a comprehensive resource and knowledgebase for proteomic data at the single-cell resolution F Wang, C Liu, J Li, F Yang, J Song, T Zang, J Yao, G Wang Nucleic Acids Research 52 (D1), D562-D571, 2024 | 6 | 2024 |
MixUNet: Mix the 2D and 3D Models for Robust Medical Image Segmentation J Li, S Chen, S Ma, F Guo, J Tang 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 4 | 2023 |
Integrating prior knowledge with graph encoder for gene regulatory inference from single-cell RNA-seq data J Li, F Yang, F Wang, Y Rong, P Zhao, S Chen, J Yao, J Tang, F Guo 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 3 | 2022 |
PPRTGI: A Personalized PageRank Graph Neural Network for TF-target Gene Interaction Detection K Ma, J Li, M Zhao, I Zamit, B Lin, F Guo, J Tang IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024 | 1 | 2024 |
The Application Research of Cellular Genetic Algorithm in Vehicle Routing Problem Y Jin, J Fan, J Yang, J Li, D Fan ISCC 2017 - The 5th International Conference on Information Science and …, 2017 | 1 | 2017 |
scCADE: A Superior Tool for Predicting Perturbation Responses in Single-Cell Gene Expression Using Contrastive Learning and Attention Mechanisms J Ou, J Li, Z Xia, S Dai, Y Ding, Y Guo, L Jiang, J Tang 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
Multi-Task Driven Multi-Level Dynamical Fusion for Single-Cell Multi-Omics Cell Type Annotation J Li, S Chen, Z Han, W Li, J Tang, F Guo 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
A gene regulatory network–aware graph learning method for cell identity annotation in single-cell RNA-seq data M Zhao, J Li, X Liu, K Ma, J Tang, F Guo Genome Research 34 (7), 1036-1051, 2024 | | 2024 |
RecGOBD: accurate recognition of gene ontology related brain development protein functions through multi-feature fusion and attention mechanisms Z Xia, S Ma, J Li, Y Guo, L Jiang, J Tang Bioinformatics Advances 4 (1), vbae163, 2024 | | 2024 |
Rfae: A High-Robust Feature Selector Based on Fractal Autoencoder J Ou, J Li, Z Xia, S Dai, L Jiang, Y Guo, J Tang Available at SSRN 4710022, 0 | | |