Description Usage Arguments Value Examples
Find differentially expressed genes
1 2 3 | find.de.genes(expr, sample.mapping, states, method = "limma",
out.file = NULL, state.background = NULL, adjust.method = "BH",
cutoff = 0.05, functional.enrichment = NULL)
|
expr |
expression matrix. |
sample.mapping |
Sample - condition mapping. |
states |
Conditions to be considered as case. |
method |
Differential expression analysis method: limma (Default) | sam | welch. |
out.file |
File to write output. If NULL (default) not used. |
state.background |
Condition to be considered as control. |
adjust.method |
Multiple hypothesis testing correction method. Defaults to BH. |
cutoff |
Adjust p-value cutoff. Defaults to 0.05 |
functional.enrichment |
GO or KEGG based functional enrichment analysis |
data frame with results
1 2 3 4 5 6 7 | gds.data = fetch.expression.data("GDS4966", do.log2=F, probe.conversion="Gene ID")
expr = gds.data$expr
sample.mapping = gds.data$sample.mapping
sample.mapping = convert.sample.mapping.to.case.control(sample.mapping,
states.control = c("healthy donor"),
states.case = c("tuberculosis", "latent tuberculosis infection"))
d = find.de.genes(expr, sample.mapping, c("case", "control"), method="limma")
|
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