Evaluation of O2PLS in Omics data integration.

ABSTRACT:

Background

Rapid computational and technological developments made large amounts of omics data available in different biological levels. It is becoming clear that simultaneous data analysis methods are needed for better interpretation and understanding of the underlying systems biology. Different methods have been proposed for this task, among them Partial Least Squares (PLS) related methods. To also deal with orthogonal variation, systematic variation in the data unrelated to one another, we consider the Two-way Orthogonal PLS (O2PLS): an integrative data analysis method which is capable of modeling systematic variation, while providing more parsimonious models aiding interpretation.

Results

A simulation study to assess the performance of O2PLS showed positive results in bo

SUBMITTER: Bouhaddani SE 

PROVIDER: S-EPMC4959391 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature