computeDEG: Computes differential expression for the gene in question, by...
In krishan57gupta/ROSeq: Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data
Description
Usage
Arguments
Value
See Also
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
1
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
krishan57gupta/ROSeq documentation built on March 3, 2021, 11:12 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value See Also
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
1 | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.