A Selective Review of Multi-Level Omics Data Integration Using Variable Selection

A Selective Review of Multi-Level Omics Data Integration Using Variable Selection

High-throughput technologies have been used to generate a large amount of omics data. In the past, single-level analysis has been extensively conducted where the omics measurements at different levels, including mRNA, microRNA, CNV and DNA methylation, are analyzed separately. As the molecular compl...

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Bibliographic Details
Main Authors: Cen Wu, Fei Zhou, Jie Ren, Xiaoxi Li, Yu Jiang, Shuangge Ma
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:High-Throughput
Subjects:
integrative analysis
multi-level omics data
parallel and hierarchical integration
Penalization
Bayesian variable selection
Online Access:http://www.mdpi.com/2571-5135/8/1/4

Internet

http://www.mdpi.com/2571-5135/8/1/4

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