glmFitAndLRT: generalized linear model and likelihood ratio tests with...
In taylo5jm/interactions: Classification of gene expression profile sets generated from combination stimuli
Description
Usage
Arguments
Value
Examples
Description
generalized linear model and likelihood ratio tests with edgeR
Usage
1
glmFitAndLRT(d, design, contrasts)
Arguments
d
DGEList with dispersions estimated
design
list where design[[1]] is the design matrix constructed by model.matrix
and design[[2]] are the contrasts constructed by make.contrasts
contrasts
optional constrasts constructed by make.contrasts
Value
pairwise list of likelihood ratio test tables generated with
edgeR::glmLRT
Examples
1
2
3
4
5
6
7
## Not run:
d <- dge2voom_q(counts, genes)
design <- designMatrixAndContrasts(metadata, drug_combination = TRUE,
pipeline = "edgeR")
my_lrt_res <- glmFitAndLRT(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
generalized linear model and likelihood ratio tests with edgeR
Usage
1 | glmFitAndLRT(d, design, contrasts)
|
Arguments
d |
DGEList with dispersions estimated |
design |
list where design[[1]] is the design matrix constructed by model.matrix and design[[2]] are the contrasts constructed by make.contrasts |
contrasts |
optional constrasts constructed by make.contrasts |
Value
pairwise list of likelihood ratio test tables generated with edgeR::glmLRT
Examples
1 2 3 4 5 6 7 | ## Not run:
d <- dge2voom_q(counts, genes)
design <- designMatrixAndContrasts(metadata, drug_combination = TRUE,
pipeline = "edgeR")
my_lrt_res <- glmFitAndLRT(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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