Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data

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...

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Bibliographic Details
Main Authors: Eun Jeong Min, Qi Long
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Bioinformatics
Subjects:
Multiple co-inertia analysis
l 0 penalty
Network penalty
Structural information
Gene network information
Integrative analysis
Online Access:http://link.springer.com/article/10.1186/s12859-020-3455-4

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http://link.springer.com/article/10.1186/s12859-020-3455-4

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