Article
Multivariate models from RNA-Seq SNVs yield candidate molecular targets for biomarker discovery: SNV-DA.
BMC genomics - 31 Mar 2016
Paul Matt R, Levitt Nicholas P, Moore David E, Watson Patricia M, Wilson Robert C, Denlinger Chadrick E, Watson Dennis K, Anderson Paul E
Abstract excerpt
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 continuous nature of SNV allele fraction features allows the concurrent investigation of several genomic phenomena,...
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