GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis
Abstract
Recent advances in biomedical research have made massive amount of transcriptomic data available in public repositories from different sources. Due to the heterogeneity present in the individual experiments, identifying reproducible biomarkers for a given disease from multiple independent studies has become a major challenge. The widely used meta-analysis approaches, such as Fisher’s method, Stouffer’s method, minP and maxP, have at least two major limitations: (i) they are sensitive to outliers, and (ii) they perform only one statistical test for each individual study, and hence do not fully utilize the potential sample size to gain statistical power.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 22, 2019
- Source ID
- 10.1093/bioinformatics/btz561
Entities
People
- Adib Shafi
- Azam Peyvandipour
- Sorin Draghici
- Tin C. Nguyen
Organizations
- National Institutes of Health
- National Science Foundation
- United States Department of Defense
- University of Nevada, Reno
- Wayne State University