selfea: Select Features Reliably with Cohen's Effect Sizes

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.

Author
Lang Ho Lee, Arnold Saxton, Nathan Verberkmoes
Date of publication
2015-06-23 01:14:10
Maintainer
Lang Ho Lee <langholee@gmail.com>
License
GPL-2
Version
1.0.1

View on CRAN

Man pages

calculate_cohen_f2
calculate_cohen_f2
draw_scatter_plots
draw_scatter_plots
example_data
Gregori Data: Yeast lisate samples spiked with human proteins
example_data1
Gregori Data: Yeast lisate samples spiked with human proteins
example_data2
Gregori Data: Yeast lisate samples spiked with human proteins
example_group
Yeast lisate samples spiked with human proteins
get_statistics_from_dataFrame
get_statistics_from_dataFrame
get_statistics_from_file
get_statistics_from_file
glm_anova
glm_anova
selfea-package
Selfea: R package for reliable feature selection using...
top_table
top_table
ttest_cohens_d
ttest_cohens_d

Files in this package

selfea
selfea/NAMESPACE
selfea/data
selfea/data/example_data1.rda
selfea/data/example_data2.rda
selfea/R
selfea/R/selfea.R
selfea/MD5
selfea/DESCRIPTION
selfea/man
selfea/man/glm_anova.Rd
selfea/man/selfea-package.Rd
selfea/man/example_data1.Rd
selfea/man/draw_scatter_plots.Rd
selfea/man/top_table.Rd
selfea/man/calculate_cohen_f2.Rd
selfea/man/example_group.Rd
selfea/man/get_statistics_from_file.Rd
selfea/man/ttest_cohens_d.Rd
selfea/man/get_statistics_from_dataFrame.Rd
selfea/man/example_data2.Rd
selfea/man/example_data.Rd