paraGSEA: a scalable approach for large-scale gene expression profiling

More studies have been conducted using gene expression similarity to identify functional connections among genes, diseases and drugs. Gene Set Enrichment Analysis (GSEA) is a powerful analytical method for interpreting gene expression data. However, due to its enormous computational overhead in the...

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Detalles Bibliográficos
Autores principales: Peng, Shaoliang, Yang, Shunyun, Bo, Xiaochen, Li, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737394/
https://www.ncbi.nlm.nih.gov/pubmed/28973463
http://dx.doi.org/10.1093/nar/gkx679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737394/
https://www.ncbi.nlm.nih.gov/pubmed/28973463
http://dx.doi.org/10.1093/nar/gkx679

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