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Avoiding the pitfalls of gene set enrichment analysis with SetRank
BACKGROUND: The purpose of gene set enrichment analysis (GSEA) is to find general trends in the huge lists of genes or proteins generated by many functional genomics techniques and bioinformatics analyses. RESULTS: Here we present SetRank, an advanced GSEA algorithm which is able to eliminate many f...
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| Publicado en: | BMC Bioinformatics |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5336655/ https://ncbi.nlm.nih.gov/pubmed/28259142 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1571-6 |
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