Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data
Abstract Background Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets. However, its estimated loading vectors are non-spa...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-04-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-3455-4 |