| Literature DB >> 26519179 |
Xin Gao1.
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.Keywords: Data integration; Fisher’s combined probability test; Microarray; Permutation; Proteomics
Mesh:
Year: 2016 PMID: 26519179 DOI: 10.1007/978-1-4939-3106-4_13
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745