Nothing
## ----knitrsetup, include=FALSE------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
tidy = TRUE)
knitr::knit_hooks$set(small.mar = function(before, options, envir) {
if (before) par(mar = c(0, 0, 0, 0)) # no margin
})
## ----import, message=FALSE, results='hide'------------------------------------
library(GEOquery)
GSE107991_metadata <- GEOquery::getGEO("GSE107991", GSEMatrix = FALSE)
get_info <- function(i){
name <- GEOquery::Meta(GSMList(GSE107991_metadata)[[i]])$source_name_ch1
name <- gsub("Active_TB", "ActiveTB", name)
name <- gsub("Test_set", "TestSet", name)
c(unlist(strsplit(name, split="_")),
GEOquery::Meta(GSMList(GSE107991_metadata)[[i]])$title)
}
infos <- vapply(X = 1:length(GSMList(GSE107991_metadata)),
FUN = get_info,
FUN.VALUE = c("a", "b", "c", "d", "e"))
infos_df <- cbind.data.frame("SampleID" = names(GSMList(GSE107991_metadata)),
t(infos), stringsAsFactors=TRUE)
rownames(infos_df) <- names(GEOquery::GSMList(GSE107991_metadata))
colnames(infos_df)[-1] <- c("Cohort", "Location", "Set", "Status", "SampleTitle")
## ----London-download, message=FALSE, results='hide'---------------------------
library(readxl)
GEOquery::getGEOSuppFiles('GSE107991',
filter_regex="edgeR_normalized_Berry_London")
London <- readxl::read_excel("GSE107991/GSE107991_edgeR_normalized_Berry_London.xlsx")
genes <- London$Genes
London <- as.matrix(London[, -c(1:3)])
rownames(London) <- genes
## ----LR_ST_echo, eval=TRUE, echo=TRUE, message=FALSE--------------------------
library(dearseq)
library(SummarizedExperiment)
col_data <- data.frame("Status" = infos_df$Status)
col_data$Status <- stats::relevel(col_data$Status, ref="Control")
rownames(col_data) <- infos_df$SampleTitle
se <- SummarizedExperiment(assays = London,
colData = col_data)
res_dearseq <- dearseq::dear_seq(object = se[, se$Status != "LTBI"],
variables2test = "Status",
which_test='asymptotic',
preprocessed=TRUE)
## ----baduel, eval=TRUE, echo=TRUE---------------------------------------------
library(dearseq)
library(SummarizedExperiment)
library(BiocSet)
data('baduel_5gs')
se2 <- SummarizedExperiment(assay = log2(expr_norm_corr+1),
colData = design)
genes_non0var_ind <- which(matrixStats::rowVars(expr_norm_corr)!=0)
KAvsTBG <- dearseq::dgsa_seq(object = se2[genes_non0var_ind, ],
covariates=c('Vernalized', 'AgeWeeks', 'Vernalized_Population', 'AgeWeeks_Population'),
variables2test = 'PopulationKA',
genesets=baduel_gmt$genesets[c(3,5)],
which_test = 'permutation', which_weights = 'loclin',
n_perm=1000, preprocessed = TRUE,
verbose = FALSE, parallel_comp = FALSE)
KAvsTBG$pvals
Cold <- dearseq::dgsa_seq(object = se2[genes_non0var_ind, ],
covariates = c('AgeWeeks', 'PopulationKA', 'AgeWeeks_Population'),
variables2test = c('Vernalized', 'Vernalized_Population'),
genesets = baduel_gmt$genesets[c(3,5)],
which_test = 'permutation', which_weights = 'loclin',
n_perm = 1000, preprocessed = TRUE,
verbose = FALSE, parallel_comp = FALSE)
Cold$pvals
## ----dl_GEOquery, eval=FALSE, echo=TRUE---------------------------------------
# if (!requireNamespace("GEOquery", quietly = TRUE)) {
# if (!requireNamespace("BiocManager", quietly = TRUE)){
# install.packages("BiocManager")
# }
# BiocManager::install("GEOquery")
# }
## ----dl_readxl, echo=TRUE, eval=FALSE-----------------------------------------
# if (!requireNamespace("readxl", quietly = TRUE)) {
# install.packages("readxl")
# }
## ---- echo=FALSE--------------------------------------------------------------
utils::sessionInfo()
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