BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Wu M, Lin Z, Ma S, Chen T, Jiang R, Wong WH. Simultaneous inference of phenotype-associated genes and relevant tissues from GWAS data via Bayesian integration of multiple tissue-specific gene networks. J Mol Cell Biol 2017;9:436-52. [PMID: 29300920 DOI: 10.1093/jmcb/mjx059] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Wu M, Zeng W, Liu W, Lv H, Chen T, Jiang R. Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning. Methods 2018;145:41-50. [DOI: 10.1016/j.ymeth.2018.06.002] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
2 Shan N, Wang Z, Hou L. Identification of trans-eQTLs using mediation analysis with multiple mediators. BMC Bioinformatics 2019;20:126. [PMID: 30925861 DOI: 10.1186/s12859-019-2651-6] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
3 Brabec JL, Lara MK, Tyler AL, Mahoney JM. System-Level Analysis of Alzheimer's Disease Prioritizes Candidate Genes for Neurodegeneration. Front Genet 2021;12:625246. [PMID: 33889174 DOI: 10.3389/fgene.2021.625246] [Reference Citation Analysis]
4 Yin Q, Wu M, Liu Q, Lv H, Jiang R. DeepHistone: a deep learning approach to predicting histone modifications. BMC Genomics 2019;20:193. [PMID: 30967126 DOI: 10.1186/s12864-019-5489-4] [Cited by in Crossref: 17] [Cited by in F6Publishing: 12] [Article Influence: 5.7] [Reference Citation Analysis]
5 Ma S, Jiang T, Jiang R. Constructing tissue-specific transcriptional regulatory networks via a Markov random field. BMC Genomics 2018;19:884. [PMID: 30598101 DOI: 10.1186/s12864-018-5277-6] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
6 Ma L, Rolls ET, Liu X, Liu Y, Jiao Z, Wang Y, Gong W, Ma Z, Gong F, Wan L. Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients. J Mol Cell Biol 2019;11:678-87. [PMID: 30508120 DOI: 10.1093/jmcb/mjy071] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]