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...
| Автори: | , , , , , , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Public Library of Science (PLoS)
2021-05-01
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| Серія: | PLoS Computational Biology |
| Онлайн доступ: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008976&type=printable |