Identifying and exploiting gene-pathway interactions from RNA-seq data for binary phenotype

BACKGROUND: RNA sequencing (RNA-seq) technology has identified multiple differentially expressed (DE) genes associated to complex disease, however, these genes only explain a modest part of variance. Omnigenic model assumes that disease may be driven by genes with indirect relevance to disease and b...

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Detalles Bibliográficos
Autores principales: Shao, Fang, Wang, Yaqi, Zhao, Yang, Yang, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423879/
https://www.ncbi.nlm.nih.gov/pubmed/30890140
http://dx.doi.org/10.1186/s12863-019-0739-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423879/
https://www.ncbi.nlm.nih.gov/pubmed/30890140
http://dx.doi.org/10.1186/s12863-019-0739-7

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