Mining coherent dense subgraphs across massive biological networks for functional discovery H Hu, X Yan, Y Huang, J Han, XJ Zhou Bioinformatics 21 (suppl_1), i213-i221, 2005 | 460 | 2005 |
TarPmiR: a new approach for microRNA target site prediction J Ding, X Li, H Hu Bioinformatics 32 (18), 2768-2775, 2016 | 142 | 2016 |
Systematic discovery of functional modules and context-specific functional annotation of human genome Y Huang, H Li, H Hu, X Yan, MS Waterman, H Huang, XJ Zhou Bioinformatics 23 (13), i222-i229, 2007 | 111 | 2007 |
H3K4me2 reliably defines transcription factor binding regions in different cells Y Wang, X Li, H Hu Genomics 103 (2-3), 222-228, 2014 | 98 | 2014 |
Transcriptional regulation of co-expressed microRNA target genes Y Wang, X Li, H Hu Genomics 98 (6), 445-452, 2011 | 58 | 2011 |
Transcriptional regulation in eukaryotic ribosomal protein genes H Hu, X Li Genomics 90 (4), 421-423, 2007 | 58 | 2007 |
Interpretation of deep learning in genomics and epigenomics A Talukder, C Barham, X Li, H Hu Briefings in Bioinformatics 22 (3), bbaa177, 2021 | 54 | 2021 |
MBBC: an efficient approach for metagenomic binning based on clustering Y Wang, H Hu, X Li BMC bioinformatics 16 (1), 1-11, 2015 | 36 | 2015 |
MOPAT: a graph-based method to predict recurrent cis-regulatory modules from known motifs J Hu, H Hu, X Li Nucleic acids research 36 (13), 4488-4497, 2008 | 36 | 2008 |
Thousands of cis-regulatory sequence combinations are shared by Arabidopsis and poplar J Ding, H Hu, X Li Plant physiology 158 (1), 145-155, 2012 | 34 | 2012 |
SIOMICS: a novel approach for systematic identification of motifs in ChIP-seq data J Ding, H Hu, X Li Nucleic acids research 42 (5), e35-e35, 2014 | 32 | 2014 |
Systematic identification of conserved motif modules in the human genome X Cai, L Hou, N Su, H Hu, M Deng, X Li BMC genomics 11 (1), 1-10, 2010 | 32 | 2010 |
MicroRNA modules prefer to bind weak and unconventional target sites J Ding, X Li, H Hu Bioinformatics 31 (9), 1366-1374, 2015 | 30 | 2015 |
PETModule: a motif module based approach for enhancer target gene prediction C Zhao, X Li, H Hu Scientific reports 6 (1), 1-10, 2016 | 27 | 2016 |
Integrative analyses shed new light on human ribosomal protein gene regulation X Li, Y Zheng, H Hu, X Li Scientific reports 6 (1), 1-9, 2016 | 26 | 2016 |
Systematic prediction of cis-regulatory elements in the Chlamydomonas reinhardtii genome using comparative genomics J Ding, X Li, H Hu Plant physiology 160 (2), 613-623, 2012 | 26 | 2012 |
Prognostic cancer gene signatures share common regulatory motifs Y Wang, S Goodison, X Li, H Hu Scientific reports 7 (1), 1-9, 2017 | 25 | 2017 |
Systematic discovery of cofactor motifs from ChIP-seq data by SIOMICS J Ding, V Dhillon, X Li, H Hu Methods 79, 47-51, 2015 | 24 | 2015 |
JunD/AP-1-mediated gene expression promotes lymphocyte growth dependent on interleukin-7 signal transduction SM Ruppert, M Chehtane, G Zhang, H Hu, X Li, AR Khaled PLoS One 7 (2), e32262, 2012 | 24 | 2012 |
EPIP: a novel approach for condition-specific enhancer–promoter interaction prediction A Talukder, S Saadat, X Li, H Hu Bioinformatics 35 (20), 3877-3883, 2019 | 23 | 2019 |