View source: R/geneDrugPerturbation.R
geneDrugPerturbation | R Documentation |
Function computing gene-drug associations from perturbation data
geneDrugPerturbation(x, concentration, type, batch, duration, model = FALSE)
x |
numeric Vector of gene expression values |
concentration |
numeric Vector with drug concentrations/doses |
type |
factor Vector of factors specifying the cell lines or type types |
batch |
factor Vector of factors specifying the batch |
duration |
character Vector of measurement times (in hours) |
model |
logical Should the full linear model be returned? Default set to FALSE |
numeric Vector reporting the effect size (estimateof the coefficient of drug concentration), standard error (se), sample size (n), t statistic, and F statistics and its corresponding p-value
ToxicoGx::drugPerturbationSig(tSet = TGGATESsmall, mDataType="rna", cell_lines="Hepatocyte", duration="24", dose=c("Control", "Low"), drugs=c("Omeprazole", "Isoniazid"), returnValues=c("estimate","tstat", "pvalue", "fdr"), verbose=FALSE)
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