computeDEG: Computes differential expression for the gene in question, by...
In 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
ROSeq documentation built on Feb. 18, 2021, 2 a.m.
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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.
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