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...

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Detalles Bibliográficos
Autores principales: Hieke, Stefanie, Benner, Axel, Schlenl, Richard F., Schumacher, Martin, Bullinger, Lars, Binder, Harald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
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

Internet

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

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