Multivariate models from RNA-Seq SNVs yield candidate molecular targets for biomarker discovery: SNV-DA

BACKGROUND: It has recently been shown that significant and accurate single nucleotide variants (SNVs) can be reliably called from RNA-Seq data. These may provide another source of features for multivariate predictive modeling of disease phenotype for the prioritization of candidate biomarkers. The...

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Detalles Bibliográficos
Autores principales: Paul, Matt R., Levitt, Nicholas P., Moore, David E., Watson, Patricia M., Wilson, Robert C., Denlinger, Chadrick E., Watson, Dennis K., Anderson, Paul E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815211/
https://www.ncbi.nlm.nih.gov/pubmed/27029813
http://dx.doi.org/10.1186/s12864-016-2542-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815211/
https://www.ncbi.nlm.nih.gov/pubmed/27029813
http://dx.doi.org/10.1186/s12864-016-2542-4

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