METRADISC-XL: A program for meta-analysis of multidimensional ranked discovery oriented datasets including microarrays

Authors:
Elias Zintzaras;John P. A. Ioannidis
Affiliations:
Department of Biomathematics, University of Thessaly School of Medicine, Larissa, Greece and Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University Schoo ...;Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
Venue:
Computer Methods and Programs in Biomedicine
Year:
2012

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Abstract

A comprehensive software for performing meta-analysis of ranked discovery oriented datasets, such as those derived from microarrays or other high throughput technologies, and for testing between-study heterogeneity for biological variables (gene expression, microRNA, proteomic, or other high-dimensional data) is presented. The software can identify biological probes that have either very high average ranks (e.g. consistently over-expressed genes) or very low average ranks (e.g. consistently under-expressed genes). The program tests each probe's average rank and the between-study heterogeneity of the study-specific ranks. Furthermore, it performs heterogeneity analyses restricted to probes with similar average ranks. The program allows both unweighted and weighted analysis. Statistical inferences are based on Monte Carlo permutation tests.