dea_metafor: Mixed-effects univariate differential expression analysis...
In biospi/bayesprot: Bayesian Protein-level Quantification for Proteomics
Description
The model is performed pair-wise across the levels of the 'Condition' in 'data.design'. Default is a standard Student's t-test model. See 'rma.uni' manpage for limitations of this approach.
Usage
1
2
3
4
5
dea_metafor(fit, data = protein_quants(fit), data.design = design(fit),
condition = "Condition", mods = as.formula(paste("~", condition)),
random = ~Condition | Sample, struct = "DIAG", test = "t",
output = "metafor", save.intercept = FALSE, as.data.table = FALSE,
...)
biospi/bayesprot documentation built on Nov. 9, 2019, 2:40 p.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
The model is performed pair-wise across the levels of the 'Condition' in 'data.design'. Default is a standard Student's t-test model. See 'rma.uni' manpage for limitations of this approach.
Usage
1 2 3 4 5 | dea_metafor(fit, data = protein_quants(fit), data.design = design(fit),
condition = "Condition", mods = as.formula(paste("~", condition)),
random = ~Condition | Sample, struct = "DIAG", test = "t",
output = "metafor", save.intercept = FALSE, as.data.table = FALSE,
...)
|
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.