Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer

MOTIVATION: Current bioinformatics methods to detect changes in gene isoform usage in distinct phenotypes compare the relative expected isoform usage in phenotypes. These statistics model differences in isoform usage in normal tissues, which have stable regulation of gene splicing. Pathological cond...

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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Afsari, Bahman, Guo, Theresa, Considine, Michael, Florea, Liliana, Kagohara, Luciane T, Stein-O’Brien, Genevieve L, Kelley, Dylan, Flam, Emily, Zambo, Kristina D, Ha, Patrick K, Geman, Donald, Ochs, Michael F, Califano, Joseph A, Gaykalova, Daria A, Favorov, Alexander V, Fertig, Elana J
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
Assuntos:
Original Papers
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5972655/
https://ncbi.nlm.nih.gov/pubmed/29342249
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty004
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