View source: R/sig_test_summary-class.R
get_sig_test_summary
1 2 | get_sig_test_summary(fit, testable_features = row.names(fit), contrast,
p_threshold = 0.05)
|
fit |
A DGEGLM from a edgeR model fit. |
testable_features |
Which rows of the DGEGLM should be considered? |
contrast |
A matrix or vector defining the contrasts over which the LRT test should summarise. |
p_threshold |
A single float given the FDR threshold under which a given feature is considered 'significant'. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.