Revealing Biological Pathways Implicated in Lung Cancer from TCGA Gene Expression Data Using Gene Set Enrichment Analysis

Analyzing biological system abnormalities in cancer patients based on measures of biological entities, such as gene expression levels, is an important and challenging problem. This paper applies existing methods, Gene Set Enrichment Analysis and Signaling Pathway Impact Analysis, to pathway abnormal...

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Detalles Bibliográficos
Autores principales: Cai, Binghuang, Jiang, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2014
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251186/
https://www.ncbi.nlm.nih.gov/pubmed/25520551
http://dx.doi.org/10.4137/CIN.S13882

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4251186/
https://www.ncbi.nlm.nih.gov/pubmed/25520551
http://dx.doi.org/10.4137/CIN.S13882

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