title: Statistical Method for Integrative Platform Analysis: Application to Integration of Proteomic and Microarray Data.
abstract: To perform integrative analysis on multiple genomic data sources, we propose to use Fisher's combined probability test for consolidated inference. The method combines the individual p-values from different data sources and constructs a chi-square test statistics for the overall significance. This method is valid to combine results across independent data sources. We further improve the method to accommodate the scenario that the data sources are dependent or the data samples are too small to obtain valid p-values through exact distributions. The proposed method is convenient to use in practice and is robust to distributional assumptions and small sample sizes.
authors.affiliation: Department of Mathematics and Statistics, York University, Toronto, ON, Canada, M3J 1P3. xingao@mathstat.yorku.ca.
authors.forename: Xin
authors.initials: X
authors.lastname: Gao
mesh_terms: D019295:Computational Biology / Q000379:methods*; D015233:Models, Statistical; D040901:Proteomics / Q000379:methods*
keywords: Data integration; Fisher’s combined probability test; Microarray; Permutation; Proteomics