estimateAllGLMDisp: Fit generalized linear model and make pairwise comparisons...
In taylo5jm/interactions: Classification of gene expression profile sets generated from combination stimuli
Description
Usage
Arguments
Value
Examples
Description
Fit generalized linear model and make pairwise comparisons based on contrasts
Usage
1
estimateAllGLMDisp(d, design)
Arguments
d
DGEList object with normalization factors calculated
design
design matrix initialized with model.matrix
Value
d DGEList with common, trended and tagwise dispersion estimated
Examples
1
2
3
4
5
6
# dge2voom_q returns d, a DGEList with normalization factors
# calculated to the global environment
## Not run: v <- dge2voom_q(counts, genes)
d <- estimateAllGLMDisp(d, design)
## End(Not run)
taylo5jm/interactions documentation built on May 31, 2019, 3:57 a.m.
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Description Usage Arguments Value Examples
Description
Fit generalized linear model and make pairwise comparisons based on contrasts
Usage
1 | estimateAllGLMDisp(d, design)
|
Arguments
d |
DGEList object with normalization factors calculated |
design |
design matrix initialized with model.matrix |
Value
d DGEList with common, trended and tagwise dispersion estimated
Examples
1 2 3 4 5 6 | # dge2voom_q returns d, a DGEList with normalization factors
# calculated to the global environment
## Not run: v <- dge2voom_q(counts, genes)
d <- estimateAllGLMDisp(d, design)
## End(Not run)
|
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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