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 1.6.0 Index]