Sparse reduced-rank regression for integrating omics data

Abstract Background The problem of assessing associations between multiple omics data including genomics and metabolomics data to identify biomarkers potentially predictive of complex diseases has garnered considerable research interest nowadays. A popular epidemiology approach is to consider an ass...

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Bibliographic Details
Main Authors: Haileab Hilafu, Sandra E. Safo, Lillian Haine
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Bioinformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12859-020-03606-2