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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,...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Materias: | |
| 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 |