Efficient and biologically relevant consensus strategy for Parkinson's disease gene prioritization.

ABSTRACT:

Background

The systemic information enclosed in microarray data encodes relevant clues to overcome the poorly understood combination of genetic and environmental factors in Parkinson's disease (PD), which represents the major obstacle to understand its pathogenesis and to develop disease-modifying therapeutics. While several gene prioritization approaches have been proposed, none dominate over the rest. Instead, hybrid approaches seem to outperform individual approaches.

Methods

A consensus strategy is proposed for PD related gene prioritization from mRNA microarray data based on the combination of three independent prioritization approaches: Limma, machine learning, and weighted gene co-expression networks.

Results

The consensus strategy outperformed the individual a

SUBMITTER: Cruz-Monteagudo M 

PROVIDER: S-EPMC4784386 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature