Cargando…
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...
Autores principales: | Cai, Binghuang, Jiang, Xia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2014
|
Materias: | |
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 |
Ejemplares similares
-
Pan-cancer analysis of TCGA data reveals notable signaling pathways
por: Neapolitan, Richard, et al.
Publicado: (2015) -
Weighted set enrichment of gene expression data
por: Qureshi, Rehman, et al.
Publicado: (2013) -
Mining TCGA Data Using Boolean Implications
por: Sinha, Subarna, et al.
Publicado: (2014) -
Gene-set Enrichment with Mathematical Biology (GEMB)
por: Cochran, Amy L, et al.
Publicado: (2020) -
Inferring Aberrant Signal Transduction Pathways in Ovarian Cancer from TCGA Data
por: Neapolitan, Richard, et al.
Publicado: (2014)