Enhancing gene set enrichment using networks [version 2; peer review: 2 approved, 2 approved with reservations]
Differential gene expression (DGE) studies often suffer from poor interpretability of their primary results, i.e., thousands of differentially expressed genes. This has led to the introduction of gene set analysis (GSA) methods that aim at identifying interpretable global effects by grouping genes i...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2019-07-01
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| Series: | F1000Research |
| Online Access: | https://f1000research.com/articles/8-129/v2 |