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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...
Autores principales: | Ponzi, Erica, Thoresen, Magne, Haugdahl Nøst, Therese, Møllersen, Kajsa |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
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 |
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