HEGESMA: genome search meta-analysis and heterogeneity testing. Heterogeneity and genome search meta-analysis (HEGESMA) is a comprehensive software for performing genome scan meta-analysis, a quantitative method to identify genetic regions (bins) with consistently increased linkage score across multiple genome scans, and for testing the heterogeneity of the results of each bin across scans. The program provides as an output the average of ranks and three heterogeneity statistics, as well as corresponding significance levels. Statistical inferences are based on Monte Carlo permutation tests. The program allows both unweighted and weighted analysis, with the weights for each study as specified by the user. Furthermore, the program performs heterogeneity analyses restricted to the bins with similar average ranks. Availability: http://biomath.med.uth.gr
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References in zbMATH (referenced in 2 articles )
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- Guerra, Rudy (ed.); Goldstein, Darlene R. (ed.): Meta-analysis and combining information in genetics and genomics. (2010)
- Zintzaras, Elias; Ioannidis, John P.A.: Meta-analysis for ranked discovery datasets: theoretical framework and empirical demonstration for microarrays (2008)