computeDEG {ROSeq}R Documentation

Computes differential expression for the gene in question, by comparing the optimal parameters for sub-populations one and two

Description

Uses the (asymptotically) optimum two-sample Wald test based on the MLE of the parameters and its asymptotic variances given by the inverse of the Fisher information matrix

Usage

computeDEG(results_1, results_2)

Arguments

results_1

A vector corresponding to sub-population one and containing 5 values (a, b, A, number of bins, R2)

results_2

A vector corresponding to sub-population two and containing 5 values (a, b, A, number of bins, R2)

Value

T The Wald test statistic for testing the null hypothesis

See Also

getI, findParams


[Package ROSeq version 1.2.10 Index]