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Next, the resulting p-values were corrected for testing multiple hypotheses.
All the reported P values were Bonferroni corrected for testing on multiple tissues (P < 0.01, n = 17).
Enrichment P values were corrected for testing multiple TFs (218 in total) using the Bonferroni or Benjamini-Hochberg false discovery procedures.
P values returned by GOstats were corrected for testing of multiple hypotheses with the Benjamini Hochberg method implemented in an R environment (version 2.8.1, The R Foundation for Statistical Computing; http://www.r-project.org).org
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To correct for testing multiple hypotheses, we also conducted permutation testing (applying 1000 permutations) using software available in PLINK.
The Bonferroni method was used to correct for testing of 81 clades.
All hypotheses tested were corrected for multiple testing using the FDR.
For this we used the student t-test, corrected for multiple testing using the false discovery rate.
Statistical comparisons of Survivin IHC staining were performed using a Chi Square test corrected for multiple testing.
P-value (FDR adjusted) = p-value of the global test, corrected for multiple testing using the false discovery rate.
HWE and pairwise FST tests were corrected for multiple testing by applying a Bonferroni correction.
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CEO of Professional Science Editing for Scientists @ prosciediting.com