An integrative U method for joint analysis of multi-level omic data.

ABSTRACT:

Background

The advance of high-throughput technologies has made it cost-effective to collect diverse types of omic data in large-scale clinical and biological studies. While the collection of the vast amounts of multi-level omic data from these studies provides a great opportunity for genetic research, the high dimensionality of omic data and complex relationships among multi-level omic data bring tremendous analytic challenges.

Results

To address these challenges, we develop an integrative U (IU) method for the design and analysis of multi-level omic data. While non-parametric methods make less model assumptions and are flexible for analyzing different types of phenotypes and omic data, they have been less developed for association analysis of omic data. The IU method is a

SUBMITTER: Geng P 

PROVIDER: S-EPMC6457037 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature