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

      Ponzi, Erica; Thoresen, Magne; Haugdahl Nøst, Therese; Møllersen, Kajsa (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-08-05)
      <i>Background</i> - 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 ...