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HybridMTest (version 1.16.0)

Hybrid Multiple Testing

Description

Performs hybrid multiple testing that incorporates method selection and assumption evaluations into the analysis using empirical Bayes probability (EBP) estimates obtained by Grenander density estimation. For instance, for 3-group comparison analysis, Hybrid Multiple testing considers EBPs as weighted EBPs between F-test and H-test with EBPs from Shapiro Wilk test of normality as weigth. Instead of just using EBPs from F-test only or using H-test only, this methodology combines both types of EBPs through EBPs from Shapiro Wilk test of normality. This methodology uses then the law of total EBPs.

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Version

Version

1.16.0

License

GPL Version 2 or later

Maintainer

Demba Fofana

Last Published

February 15th, 2017

Functions in HybridMTest (1.16.0)

GroupComp.data

Sample ExpressionSet of GroupComp.data
row.pearson

Compute the Pearson correlation of a variable x with many variables in a matrix Y
row.slr.shapiro

Test normality of residuals for many variables.
HybridMTest-package

A powerful tool in gene expression hypothesis testing.
row.oneway.anova

Perform one-way ANOVA for many variables.
row.spearman

Compute Spearmans rank-based correlation of many variables with a variable x
grenander.ebp

Grenander EBP.
row.kruskal.wallis

Apply the Kruskal-Wallis test many times
row.kgrp.shapiro

Shapiro Wilk test of normality.
correlation.data

Sample ExpressionSet object of correlation.data
hybrid.test

Hybrid Multiple Testing of Gene Expression Data