A survey on deep learning in DNA/RNA motif mining Y He, Z Shen, Q Zhang, S Wang, DS Huang Briefings in Bioinformatics 22 (4), bbaa229, 2021 | 73 | 2021 |
Locating transcription factor binding sites by fully convolutional neural network Q Zhang, S Wang, Z Chen, Y He, Q Liu, DS Huang Briefings in bioinformatics 22 (5), bbaa435, 2021 | 37 | 2021 |
Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture S Wang, Q Zhang, Z Shen, Y He, ZH Chen, J Li, DS Huang Molecular Therapy-Nucleic Acids 24, 154-163, 2021 | 29 | 2021 |
Identification of essential proteins based on improved HITS algorithm X Lei, S Wang, F Wu Genes 10 (2), 177, 2019 | 17 | 2019 |
Base-resolution prediction of transcription factor binding signals by a deep learning framework Q Zhang, Y He, S Wang, Z Chen, Z Guo, Z Cui, Q Liu, DS Huang PLoS computational biology 18 (3), e1009941, 2022 | 15 | 2022 |
Computational prediction and characterization of cell-type-specific and shared binding sites Q Zhang, P Teng, S Wang, Y He, Z Cui, Z Guo, Y Liu, C Yuan, Q Liu, ... Bioinformatics 39 (1), btac798, 2023 | 9 | 2023 |
FCNGRU: locating transcription factor binding sites by combing fully convolutional neural network with gated recurrent unit S Wang, Y He, Z Chen, Q Zhang IEEE Journal of Biomedical and Health Informatics 26 (4), 1883-1890, 2021 | 9 | 2021 |
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes S Wang, Q Zhang, Y He, Z Cui, Z Guo, K Han, DS Huang PLoS Computational Biology 18 (10), e1010572, 2022 | 4 | 2022 |
Predicting in-vitro DNA-protein binding with a spatially aligned fusion of sequence and shape Q Zhang, Y Zhang, S Wang, ZH Chen, V Gribova, VF Filaretov, DS Huang IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2021 | 4 | 2021 |
Identifying Essential Proteins in Dynamic PPI Network with Improved FOA X Lei, S Wang, L Pan INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL 13 (3), 365-382, 2018 | 3 | 2018 |
Predicting essential proteins based on gene expression data, subcellular localization and PPI data X Lei, S Wang, L Pan Bio-inspired Computing: Theories and Applications: 12th International …, 2017 | 3 | 2017 |
Predicting the sequence specificities of DNA-binding proteins by DNA fine-tuned language model with decaying learning rates Y He, Q Zhang, S Wang, Z Chen, Z Cui, ZH Guo, DS Huang IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (1 …, 2022 | 2 | 2022 |
A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites S Wang, Z Shen, Y He, Q Zhang, C Yuan, X Qin, H Wu, X Zhao Intelligent Computing Theories and Application: 16th International …, 2020 | 2 | 2020 |
In silico prediction methods of self-interacting proteins: an empirical and academic survey Z Chen, Z You, Q Zhang, Z Guo, S Wang, Y Wang Frontiers of Computer Science 17 (3), 173901, 2023 | 1 | 2023 |
scCorrector: a robust method for integrating multi-study single-cell data ZH Guo, YB Wang, S Wang, Q Zhang, DS Huang Briefings in Bioinformatics 25 (2), bbad525, 2024 | | 2024 |
scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data ZH Guo, Y Wu, S Wang, Q Zhang, JM Shi, YB Wang, ZH Chen BMC bioinformatics 24 (1), 481, 2023 | | 2023 |
Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network Z Shen, W Liu, SJ Zhao, QH Zhang, SG Wang, L Yuan Frontiers in Genetics 14, 1283404, 2023 | | 2023 |
Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information Q Zhang, Y Xu, S Wang, Y Wu, Y Ye, CA Yuan, V Gribova, VF Filaretov, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | | 2022 |
Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification Y He, Z Shen, Q Zhang, S Wang, C Yuan, X Qin, H Wu, X Zhao Intelligent Computing Theories and Application: 16th International …, 2020 | | 2020 |