HEGESMA: genome search meta-analysis and heterogeneity testing
HEGESMA: genome search meta-analysis and heterogeneity testing
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DOI：
10.1093/bioinformatics/bti536
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发表时间：
2005-09-15
期刊：
影响因子：
5.8
通讯作者：
Ioannidis, JPA
中科院分区：
文献类型：
--
作者：
Zintzaras, E;Ioannidis, JPA
异质性和基因组搜索荟萃分析（HEGESMA）是一种用于执行基因组扫描荟萃分析的综合软件，这是一种定量方法，用于识别在多次基因组扫描中具有一致增加的连锁评分的遗传区域（bin），并用于测试扫描中每个bin结果的异质性。该程序提供秩和三个异质性统计量的平均值以及相应的显著性水平作为输出。统计推断是基于蒙特卡罗排列测试。该程序允许未加权和加权分析，每个研究的权重由用户指定。此外，该程序进行异质性分析，仅限于具有相似平均秩的箱。
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.