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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,...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3553066/ https://ncbi.nlm.nih.gov/pubmed/23216803 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2043-9113-2-22 |
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