| Enhancers active in dopamine neurons are a primary link between genetic variation and neuropsychiatric disease X Dong, Z Liao, D Gritsch, Y Hadzhiev, Y Bai, JJ Locascio, B Guennewig, ... Nature neuroscience 21 (10), 1482-1492, 2018 | 97 | 2018 |
| Extending gene ontology with gene association networks J Peng, T Wang, J Wang, Y Wang, J Chen Bioinformatics 32 (8), 1185-1194, 2016 | 50 | 2016 |
| A pipeline for RNA-seq based eQTL analysis with automated quality control procedures T Wang, Y Liu, J Ruan, X Dong, Y Wang, J Peng BMC bioinformatics 22, 1-18, 2021 | 37 | 2021 |
| Circular RNAs in the human brain are tailored to neuron identity and neuropsychiatric disease X Dong, Y Bai, Z Liao, D Gritsch, X Liu, T Wang, R Borges-Monroy, ... Nature communications 14 (1), 5327, 2023 | 33 | 2023 |
| Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation T Wang, Y Liu, Q Yin, J Geng, J Chen, X Yin, Y Wang, X Shang, C Tian, ... Briefings in bioinformatics 23 (1), bbab370, 2022 | 26 | 2022 |
| Disease module identification based on representation learning of complex networks integrated from GWAS, eQTL summaries, and human interactome T Wang, Q Peng, B Liu, Y Liu, Y Wang Frontiers in Bioengineering and Biotechnology 8, 418, 2020 | 26 | 2020 |
| FSM: Fast and scalable network motif discovery for exploring higher-order network organizations T Wang, J Peng, Q Peng, Y Wang, J Chen Methods 173, 83-93, 2020 | 26 | 2020 |
| Diff-AMP: tailored designed antimicrobial peptide framework with all-in-one generation, identification, prediction and optimization R Wang, T Wang, L Zhuo, J Wei, X Fu, Q Zou, X Yao Briefings in Bioinformatics 25 (2), bbae078, 2024 | 23 | 2024 |
| Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information Y Wang, X Liu, Y Shen, X Song, T Wang, X Shang, J Peng Briefings in bioinformatics 24 (2), bbad069, 2023 | 23 | 2023 |
| DFinder: a novel end-to-end graph embedding-based method to identify drug–food interactions T Wang, J Yang, Y Xiao, J Wang, Y Wang, X Zeng, Y Wang, J Peng Bioinformatics 39 (1), btac837, 2023 | 17 | 2023 |
| eQTLMAPT: fast and accurate eQTL mediation analysis with efficient permutation testing approaches T Wang, Q Peng, B Liu, X Liu, Y Liu, J Peng, Y Wang Frontiers in Genetics 10, 1309, 2020 | 17 | 2020 |
| A network-based method for brain disease gene prediction by integrating brain connectome and molecular network W Wang, R Han, M Zhang, Y Wang, T Wang, Y Wang, X Shang, J Peng Briefings in Bioinformatics 23 (1), bbab459, 2022 | 16 | 2022 |
| Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network W Yang, P Wang, S Xu, T Wang, M Luo, Y Cai, C Xu, G Xue, J Que, ... Nature Communications 15 (1), 7101, 2024 | 15 | 2024 |
| scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks T Wang, H Zhao, Y Xu, Y Wang, X Shang, J Peng, B Xiao Briefings in Bioinformatics 24 (6), bbad384, 2023 | 14 | 2023 |
| A review and performance evaluation of clustering frameworks for single-cell Hi-C data C Zhen, Y Wang, J Geng, L Han, J Li, J Peng, T Wang, J Hao, X Shang, ... Briefings in Bioinformatics 23 (6), bbac385, 2022 | 12 | 2022 |
| TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology J Peng, G Lu, H Xue, T Wang, X Shang BMC bioinformatics 20, 1-7, 2019 | 12 | 2019 |
| Constructing networks of organelle functional modules in Arabidopsis J Peng, T Wang, J Hu, Y Wang, J Chen Current Genomics 17 (5), 427-438, 2016 | 12 | 2016 |
| Accurately deciphering spatial domains for spatially resolved transcriptomics with stCluster T Wang, H Shu, J Hu, Y Wang, J Chen, J Peng, X Shang Briefings in Bioinformatics 25 (4), bbae329, 2024 | 9 | 2024 |
| data mining and statistical methods for knowledge discovery in diseases based on multimodal omics T Wang, ME Rentería, J Peng Frontiers in Genetics 13, 895796, 2022 | 8 | 2022 |
| postGWAS: a web server for deciphering the causality post the genome-wide association studies T Wang, Z Yan, Y Zhang, Z Lou, X Zheng, DD Mai, Y Wang, X Shang, ... Computers in Biology and Medicine 171, 108108, 2024 | 7 | 2024 |
