Original paper
Optimal alpha reduces error rates in gene expression studies: a meta-analysis approach
Abstract
Transcriptomic approaches (microarray and RNA-seq) have been a tremendous advance for molecular science in all disciplines, but they have made interpretation of hypothesis testing more difficult because of the large number of comparisons that are done within an experiment. The result has been a proliferation of techniques aimed at solving the multiple comparisons problem, techniques that have focused primarily on minimizing Type I error with...
Paper Details
Title
Optimal alpha reduces error rates in gene expression studies: a meta-analysis approach
Published Date
Jun 21, 2017
Journal
Volume
18
Issue
1
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Notes
History