| GOSemSim: an R package for measuring semantic similarity among GO terms and gene products G Yu, F Li, Y Qin, X Bo, Y Wu, S Wang Bioinformatics 26 (7), 976-978, 2010 | 1093 | 2010 |
| RevEcoR: an R package for the reverse ecology analysis of microbiomes Y Cao, Y Wang, X Zheng, F Li, X Bo BMC bioinformatics 17, 1-6, 2016 | 40 | 2016 |
| DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19 X Wang, B Xin, W Tan, Z Xu, K Li, F Li, W Zhong, S Peng Briefings in bioinformatics 22 (6), bbab226, 2021 | 32 | 2021 |
| GeneExpressionSignature: an R package for discovering functional connections using gene expression signatures F Li, Y Cao, L Han, X Cui, D Xie, S Wang, X Bo Omics: a journal of integrative biology 17 (2), 116-118, 2013 | 25 | 2013 |
| Predicting drug side effects based on link prediction in bipartite network Y Luo, Q Liu, W Wu, F Li, X Bo 2014 7th International Conference on Biomedical Engineering and Informatics …, 2014 | 24 | 2014 |
| Computational methods for the prediction of chromatin interaction and organization using sequence and epigenomic profiles H Tao, H Li, K Xu, H Hong, S Jiang, G Du, J Wang, Y Sun, X Huang, ... Briefings in Bioinformatics 22 (5), bbaa405, 2021 | 23 | 2021 |
| The effects of LW-AFC on the hippocampal transcriptome in senescence-accelerated mouse prone 8 strain, a mouse model of Alzheimer’s disease J Wang, Y Liu, X Cheng, X Zhang, F Liu, G Liu, S Qiao, M Ni, W Zhou, ... Journal of Alzheimer's Disease 57 (1), 227-240, 2017 | 22 | 2017 |
| PerturbationAnalyzer: a tool for investigating the effects of concentration perturbation on protein interaction networks F Li, P Li, W Xu, Y Peng, X Bo, S Wang Bioinformatics 26 (2), 275-277, 2010 | 22 | 2010 |
| Neuroendocrine immunomodulation network dysfunction in SAMP8 mice and PrP-hAβPPswe/PS1ΔE9 mice: potential mechanism underlying cognitive impairment J Wang, X Cheng, X Zhang, T Wang, W Xu, F Li, F Liu, J Cheng, X Bo, ... Oncotarget 7 (17), 22988, 2016 | 21 | 2016 |
| ICM: a web server for integrated clustering of multi-dimensional biomedical data S He, H He, W Xu, X Huang, S Jiang, F Li, F He, X Bo Nucleic acids research 44 (W1), W154-W159, 2016 | 20 | 2016 |
| mmnet: an R package for metagenomics systems biology analysis Y Cao, X Zheng, F Li, X Bo BioMed research international 2015, 2015 | 17 | 2015 |
| PASCAL: PopulAtion-Specific Curriculum-based MADRL for collision-free flocking with large-scale fixed-wing UAV swarms C Yan, X Xiang, C Wang, F Li, X Wang, X Xu, L Shen Aerospace Science and Technology 133, 108091, 2023 | 15 | 2023 |
| BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions X Wang, Y Yang, K Li, W Li, F Li, S Peng Bioinformatics 37 (24), 4793-4800, 2021 | 15 | 2021 |
| Network fingerprint: a knowledge-based characterization of biomedical networks X Cui, H He, F He, S Wang, F Li, X Bo Scientific reports 5 (1), 13286, 2015 | 15 | 2015 |
| EHFPI: a database and analysis resource of essential host factors for pathogenic infection Y Liu, D Xie, L Han, H Bai, F Li, S Wang, X Bo Nucleic acids research 43 (D1), D946-D955, 2015 | 12 | 2015 |
| Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery X Wang, Y Cheng, Y Yang, Y Yu, F Li, S Peng Nature Machine Intelligence 5 (4), 445-456, 2023 | 11 | 2023 |
| Exploring the role of human miRNAs in virus–host interactions using systematic overlap analysis Z Li, X Cui, F Li, P Li, M Ni, S Wang, X Bo Bioinformatics 29 (19), 2375-2379, 2013 | 11 | 2013 |
| Applications of deep learning in biological and medical data analysis L Yuan, L Zhi-Gang, G Nai-Yang, Y Xiao-Yao, W Bing, B Xiao-Chen, L Fei Progress in Biochemistry and Biophysics 43 (5), 472-483, 2016 | 10 | 2016 |
| paraGSEA: a scalable approach for large-scale gene expression profiling S Peng, S Yang, X Bo, F Li Nucleic acids research 45 (17), e155-e155, 2017 | 9 | 2017 |
| Network representation learning-based drug mechanism discovery and anti-inflammatory response against COVID-19 W Xiaoqi, B Xin, Z Xu, LI Kenli, F Li, W Zhong, W Tan, S Peng | 7 | 2021 |
