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Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information
BACKGROUND: High-throughput technology allows for genome-wide measurements at different molecular levels for the same patient, e.g. single nucleotide polymorphisms (SNPs) and gene expression. Correspondingly, it might be beneficial to also integrate complementary information from different molecular...
| 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/PMC5004308/ https://www.ncbi.nlm.nih.gov/pubmed/27578050 http://dx.doi.org/10.1186/s12859-016-1183-6 |