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Enhancing gene set enrichment using networks
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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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F1000 Research Limited
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446501/ https://www.ncbi.nlm.nih.gov/pubmed/30984382 http://dx.doi.org/10.12688/f1000research.17824.2 |