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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| 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 |