mCOPA: analysis of heterogeneous features in cancer expression data

BACKGROUND: Cancer outlier profile analysis (COPA) has proven to be an effective approach to analyzing cancer expression data, leading to the discovery of the TMPRSS2 and ETS family gene fusion events in prostate cancer. However, the original COPA algorithm did not identify down-regulated outliers,...

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Detalles Bibliográficos
Autores principales: Wang, Chenwei, Taciroglu, Alperen, Maetschke, Stefan R, Nelson, Colleen C, Ragan, Mark A, Davis, Melissa J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3553066/
https://www.ncbi.nlm.nih.gov/pubmed/23216803
http://dx.doi.org/10.1186/2043-9113-2-22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3553066/
https://www.ncbi.nlm.nih.gov/pubmed/23216803
http://dx.doi.org/10.1186/2043-9113-2-22

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