Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer

BACKGROUND: Cancer genomic studies often include data collected from several omics platforms. Each omics data source contributes to the understanding of the underlying biological process via source specific (“individual”) patterns of variability. At the same time, statistical associations and potent...

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Detalles Bibliográficos
Autores principales: Ponzi, Erica, Thoresen, Magne, Haugdahl Nøst, Therese, Møllersen, Kajsa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340537/
https://www.ncbi.nlm.nih.gov/pubmed/34353282
http://dx.doi.org/10.1186/s12859-021-04296-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340537/
https://www.ncbi.nlm.nih.gov/pubmed/34353282
http://dx.doi.org/10.1186/s12859-021-04296-0

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