selfea: Select Features Reliably with Cohen's Effect Sizes
Version 1.0.1

Functions using Cohen's effect sizes (Cohen, Jacob. Statistical power analysis for the behavioral sciences. Academic press, 2013) are provided for reliable feature selection in biology data analysis. In addition to Cohen's effect sizes, p-values are calculated and adjusted from quasi-Poisson GLM, negative binomial GLM and Normal distribution ANOVA. Significant features (genes, RNAs or proteins) are selected by adjusted p-value and minimum Cohen's effect sizes, calculated to keep certain level of statistical power of biology data analysis given p-value threshold and sample size.

Package details

AuthorLang Ho Lee, Arnold Saxton, Nathan Verberkmoes
Date of publication2015-06-23 01:14:10
MaintainerLang Ho Lee <[email protected]>
LicenseGPL-2
Version1.0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("selfea")

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selfea documentation built on May 29, 2017, 6:06 p.m.