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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-07-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-03606-2 |