Microglia coordinate cellular interactions during spinal cord repair in mice FH Brennan, Y Li, C Wang, A Ma, Q Guo, Y Li, N Pukos, WA Campbell, ... Nature communications 13 (1), 4096, 2022 | 100 | 2022 |
Single-cell biological network inference using a heterogeneous graph transformer DXQM Anjun Ma, Xiaoying Wang, Jingxian Li, Cankun Wang, Tong Xiao, Yuntao ... Nature Communications 14 (964), 2023 | 77* | 2023 |
Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework J Yang, A Ma, AD Hoppe, C Wang, Y Li, C Zhang, Y Wang, B Liu, Q Ma Nucleic acids research 47 (15), 7809-7824, 2019 | 63 | 2019 |
An algorithmic perspective of de novo cis-regulatory motif finding based on ChIP-seq data B Liu, J Yang, Y Li, A McDermaid, Q Ma Briefings in bioinformatics 19 (5), 1069-1081, 2018 | 50 | 2018 |
Spatially resolved transcriptomics reveals genes associated with the vulnerability of middle temporal gyrus in Alzheimer’s disease S Chen, Y Chang, L Li, D Acosta, Y Li, Q Guo, C Wang, E Turkes, ... Acta Neuropathologica Communications 10 (1), 188, 2022 | 47 | 2022 |
ProSampler: an ultrafast and accurate motif finder in large ChIP-seq datasets for combinatory motif discovery Y Li, P Ni, S Zhang, G Li, Z Su Bioinformatics 35 (22), 4632-4639, 2019 | 29 | 2019 |
Elucidation of biological networks across complex diseases using single-cell omics Y Li, A Ma, EA Mathé, L Li, B Liu, Q Ma Trends in Genetics 36 (12), 951-966, 2020 | 24 | 2020 |
scGNN 2.0: a graph neural network tool for imputation and clustering of single-cell RNA-Seq data H Gu, H Cheng, A Ma, Y Li, J Wang, D Xu, Q Ma Bioinformatics 38 (23), 5322-5325, 2022 | 15 | 2022 |
Identification of driver modules in pan-cancer via coordinating coverage and exclusivity B Gao, G Li, J Liu, Y Li, X Huang Oncotarget 8 (22), 36115, 2017 | 14 | 2017 |
MpsLDA-ProSVM: predicting multi-label protein subcellular localization by wMLDAe dimensionality reduction and ProSVM classifier YZ Qi Zhang, Shan Li, Bin Yu, Yang Li, Yandan Zhang, Qin Ma bioRxiv, 2020.04.19.049478, 2020 | 9* | 2020 |
Identification of lncRNAs-gene interactions in transcription regulation based on co-expression analysis of RNA-seq data SJ Lu, J Xie, Y Li, B Yu, Q Ma, BQ Liu Math. Biosci. Eng 16, 7112-7125, 2019 | 8 | 2019 |
Prediction of driver modules via balancing exclusive coverages of mutations in cancer samples B Gao, Y Zhao, Y Li, J Liu, L Wang, G Li, Z Su Advanced Science 6 (4), 1801384, 2019 | 8 | 2019 |
Block-based characterization of protease specificity from substrate sequence profile E Qi, D Wang, B Gao, Y Li, G Li BMC bioinformatics 18, 1-9, 2017 | 7 | 2017 |
CEMIG: prediction of the cis-regulatory motif using the de Bruijn graph from ATAC-seq Y Wang, Y Li, C Wang, CWJ Lio, Q Ma, B Liu Briefings in Bioinformatics 25 (1), bbad505, 2024 | 4 | 2024 |
CD200R signaling contributes to unfavorable tumor microenvironment through regulating production of chemokines by tumor-associated myeloid cells CH Lin, F Talebian, Y Li, J Zhu, JQ Liu, B Zhao, S Basu, X Pan, X Chen, ... Iscience 26 (6), 2023 | 4 | 2023 |
Mimod: a new algorithm for mining biological network modules Y Li, B Liu, J Li, G Li IEEE Access 7, 49492-49503, 2019 | 4 | 2019 |
Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data QM Yang Li, Anjun Ma, Yizhong Wang, Qi Guo, Cankun Wang, Hongjun Fu ... Briefings in Bioinformatics 25 (5), bbae369, 2024 | 2 | 2024 |
A weighted two-stage sequence alignment framework to identify motifs from ChIP-exo data Y Li, Y Wang, C Wang, A Ma, Q Ma, B Liu Patterns 5 (3), 2024 | 2 | 2024 |
Revealing favorable and unfavorable residues in cooperative positions in protease cleavage sites E Qi, D Wang, Y Li, G Li, Z Su Biochemical and Biophysical Research Communications 519 (4), 714-720, 2019 | 2 | 2019 |
Towards cell-type-specific gene regulation in heterogeneous cancer cells Q Ma, A Ma, C Wang, Y Li, C Zhang Cancer Research 80 (16_Supplement), 4409-4409, 2020 | 1 | 2020 |