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Article

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

2020-10-02

Abstract excerpt

<h4>Background</h4> 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 potential interactions among the different data sources can reveal signals from common biological processes that m...

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Literature Corpus work
3d97c1da-d84c-53ac-95ce-172eaefa47d8
DOI
10.1101/2020.10.02.299834
Open publication

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Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancerDOI 10.1101/2020.10.02.299834
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