View source: R/drugPerturbationSig.R
drugPerturbationSig | R Documentation |
Given a Pharmacoset of the perturbation experiment type, and a list of drugs, the function will compute a signature for the effect of drug concentration on the molecular profile of a cell. The algorithm uses a regression model which corrects for experimental batch effects, cell specific differences, and duration of experiment to isolate the effect of the concentration of the drug applied. The function returns the estimated coefficient for concentration, the t-stat, the p-value and the false discovery rate associated with that coefficient, in a 3 dimensional array, with genes in the first direction, drugs in the second, and the selected return values in the third.
drugPerturbationSig(
pSet,
mDataType,
drugs,
cells,
features,
nthread = 1,
returnValues = c("estimate", "tstat", "pvalue", "fdr"),
verbose = FALSE
)
pSet |
PharmacoSet a PharmacoSet of the perturbation experiment type |
mDataType |
|
drugs |
|
cells |
|
features |
|
nthread |
|
returnValues |
|
verbose |
|
list
a 3D array with genes in the first dimension, drugs in the
second, and return values in the third.
data(CMAPsmall)
drug.perturbation <- drugPerturbationSig(CMAPsmall, mDataType="rna", nthread=1)
print(drug.perturbation)
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