For this vignette we will examine the ALL dataset. First we load our ReportingTools package and the data. This dataset is from a clinical trial in acute lymphoblastic leukemia (ALL) and is available from Bioconductor.
library(ReportingTools) library(ALL) library(hgu95av2.db) library(genefilter) library(GOstats) library(limma) library(GSEAlm) library(GSEABase) data(ALL) ALL <- ALL[, ALL$mol.biol %in% c('NEG','BCR/ABL') & !is.na(ALL$sex)] ALL$mol.biol <- factor(ALL$mol.biol, levels = c('NEG', 'BCR/ABL')) ALL <- featureFilter(ALL)
First we have an eBayes fit:
model <- model.matrix(~mol.biol+sex, ALL) fit <- eBayes(lmFit(ALL, model)) myrep = HTMLReport(reportDirectory = "./",shortName="bigtest", handlers = ReportingTools:::knitrHandlers) publish(fit, myrep, eSet=ALL, factor=ALL$mol.biol, coef=2, n=100)
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