PatternMarkers & GWCoGAPS for novel data-driven biomarkers via whole transcriptome NMF

SUMMARY: Non-negative Matrix Factorization (NMF) algorithms associate gene expression with biological processes (e.g. time-course dynamics or disease subtypes). Compared with univariate associations, the relative weights of NMF solutions can obscure biomarkers. Therefore, we developed a novel patter...

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Publicado no:Bioinformatics
Main Authors: Stein-O’Brien, Genevieve L, Carey, Jacob L, Lee, Wai Shing, Considine, Michael, Favorov, Alexander V, Flam, Emily, Guo, Theresa, Li, Sijia, Marchionni, Luigi, Sherman, Thomas, Sivy, Shawn, Gaykalova, Daria A, McKay, Ronald D, Ochs, Michael F, Colantuoni, Carlo, Fertig, Elana J
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2017
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Applications Notes
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5860188/
https://ncbi.nlm.nih.gov/pubmed/28174896
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx058
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