Revision 2bf4b7346eb13ff77a90b84e177d83f94f2377d9 authored by petrovich on 29 January 2019, 16:29:30 UTC, committed by Vladislav Kamenev on 04 February 2019, 16:04:05 UTC
1 parent 34b4118
utils.R
getIndicesVector <- function(current, neededLength) {
if (length(current) == 0) {
current <- 0:(neededLength - 1)
}
current + 1
}
#' Reads ExpressionSet from a GCT file.
#'
#' Only versions 1.2 and 1.3 are supported.
#'
#' @param gct Path to gct file
#'
#' @param ... additional options for read.csv
#'
#' @return ExpressionSet object
#'
#' @examples
#' read.gct(system.file("extdata", "centers.gct", package = "phantasus"))
#' @export
read.gct <- function(gct, ...) {
meta <- readLines(gct, n = 3)
version <- meta[1]
size <- as.numeric(unlist(strsplit(meta[2], "\t")))
if (grepl("^#1.3", version)) {
# number of column annotations = number of additional rows
ann.col <- size[4]
# number of row annotations = number of additional columns
ann.row <- size[3]
} else if (grepl("^#1.2", version)) {
ann.col <- 0
ann.row <- 1
} else {
stop("Unsupported version of gct: use 1.2 or 1.3")
}
colNames <- unlist(strsplit(meta[3], "\t"))
if (grepl("/", colNames[1])) {
rowIdField <- sub("(.*)/(.*)", "\\1", colNames[1])
colIdField <- sub("(.*)/(.*)", "\\2", colNames[1])
} else {
rowIdField <- "id"
colIdField <- "id"
}
colNames[1] <- rowIdField
t <- read.tsv(gct, skip = 2 + 1 + ann.col, nrows = size[1],
col.names = colNames,
row.names = NULL, header = FALSE, ...)
rownames(t) <- t[,1]
exp <- as.matrix(t[, (ann.row + 2):ncol(t)])
fdata <- makeAnnotated(t[, seq_len(ann.row + 1), drop = FALSE])
if (ann.col > 0) {
pdata.raw <- t(read.tsv(gct, skip = 2, nrows = ann.col + 1,
header = FALSE, row.names=NULL))
pdata <- data.frame(pdata.raw[seq_len(ncol(exp)) + 1 + ann.row, ,
drop = FALSE])
colnames(pdata) <- pdata.raw[1, ]
colnames(pdata)[1] <- colIdField
rownames(pdata) <- colnames(exp)
pdata <- makeAnnotated(pdata)
res <- ExpressionSet(exp, featureData = fdata, phenoData = pdata)
} else {
res <- ExpressionSet(exp, featureData = fdata)
}
res
}
read.tsv <- function(file, header = TRUE, sep = "\t", quote = "",
comment.char = "",
check.names = FALSE, ...) {
args <- list(...)
res <- utils::read.table(file, header = header, sep = sep, quote = quote,
comment.char = comment.char, check.names = check.names,
stringsAsFactors = FALSE,
...)
if ( (!"row.names" %in% names(args)) && (colnames(res)[1] == "") ) {
rownames(res) <- res[, 1]
res[[1]] <- NULL
}
res
}
#' Saves ExpressionSet to a GCT file (version 1.3).
#'
#' @param es ExpresionSet obeject to save
#' @param file Path to output gct file
#' @param gzip Whether to gzip apply gzip-compression for the output file#'
#' @param ... additional options for read.csv
#' @return Result of the closing file (as in `close()` function`)
#' @examples
#' es <- read.gct(system.file("extdata", "centers.gct", package = "phantasus"))
#' out <- tempfile(fileext = ".gct.gz")
#' write.gct(es, out, gzip=TRUE)
#' @import Biobase
#' @export
write.gct <- function(es, file, gzip=FALSE) {
if (gzip) {
con <- gzfile(file)
} else {
con <- file(file)
}
open(con, open="w")
writeLines("#1.3", con)
ann.col <- ncol(pData(es))
ann.row <- ncol(fData(es))
writeLines(sprintf("%s\t%s\t%s\t%s", nrow(es), ncol(es), ann.row, ann.col), con)
writeLines(paste0(c("ID", colnames(fData(es)), colnames(es)), collapse="\t"), con)
ann.col.table <- t(as.matrix(pData(es)))
ann.col.table <- cbind(matrix(rep(NA, ann.row*ann.col), nrow=ann.col), ann.col.table)
write.table(ann.col.table, file=con, quote=FALSE, sep="\t", row.names=TRUE, col.names=FALSE)
write.table(cbind(fData(es), exprs(es)), file=con, quote=FALSE, sep="\t", row.names=TRUE, col.names=FALSE)
close(con)
}
makeAnnotated <- function(data) {
meta <- data.frame(labelDescription = colnames(data))
rownames(meta) <- colnames(data)
methods::new("AnnotatedDataFrame", data = data, varMeta = meta)
}
take <- function(x, n) {
sapply(x, function(x) {
x[[n]]
})
}
writeToList <- function(es) {
data <- as.matrix(exprs(es))
colnames(data) <- NULL
row.names(data) <- NULL
pdata <- as.matrix(pData(es))
colnames(pdata) <- NULL
row.names(pdata) <- NULL
rownames <- rownames(es)
fdata <- as.matrix(fData(es))
colnames(fdata) <- NULL
row.names(fdata) <- NULL
ed <- experimentData(es)
experimentList <- as.list(expinfo(ed))
experimentList$other <- as.list(ed@other)
experimentList$pubMedIds <- pubMedIds(ed)
res <- list(data = data, pdata = pdata, fdata = fdata,
rownames = rownames,
colMetaNames = varLabels(es),
rowMetaNames = fvarLabels(es),
experimentData = experimentList)
res
}
#' @importFrom utils download.file
updateARCHS4 <- function (cacheDir = "/var/phantasus/cache/archs4") {
download.file(url = "https://s3.amazonaws.com/mssm-seq-matrix/human_matrix.h5",
destfile = paste(cacheDir, "human_matrix.h5", sep=.Platform$file.sep),
mode = "wb")
download.file(url = "https://s3.amazonaws.com/mssm-seq-matrix/mouse_matrix.h5",
destfile = paste(cacheDir, "mouse_matrix.h5", sep=.Platform$file.sep),
mode = "wb")
}
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