Comments on the analysis of unbalanced microarray data
نویسندگان
چکیده
منابع مشابه
Comments on the analysis of unbalanced microarray data
MOTIVATION Permutation testing is very popular for analyzing microarray data to identify differentially expressed (DE) genes; estimating false discovery rates (FDRs) is a very popular way to address the inherent multiple testing problem. However, combining these approaches may be problematic when sample sizes are unequal. RESULTS With unbalanced data, permutation tests may not be suitable bec...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2009
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btp363