MetaGSCA: A tool for meta-analysis of gene set differential coexpression.

Analyses of gene set differential coexpression may shed light on molecular mechanisms underlying phenotypes and diseases. However, differential coexpression analyses of conceptually similar individual studies are often inconsistent and underpowered to provide definitive results. Researchers can grea...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Yan Guo, Hui Yu, Haocan Song, Jiapeng He, Olufunmilola Oyebamiji, Huining Kang, Jie Ping, Scott Ness, Yu Shyr, Fei Ye
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Public Library of Science (PLoS) 2021-05-01
Sarja:PLoS Computational Biology
Linkit:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008976&type=printable

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