Revision 11d05e58b64f4959d90cf8dccd35ae00ff05679e authored by baba-beda on 15 October 2017, 11:59:09 UTC, committed by baba-beda on 15 October 2017, 11:59:09 UTC
1 parent daafab9
utils.R
getIndicesVector <- function(current, neededLength) {
if (length(current) == 0) {
current <- 0:(neededLength - 1)
}
current + 1
}
prepareData <- function(es, columns = c(), rows = c(), replacena = "mean") {
rows <- getIndicesVector(rows, nrow(exprs(es)))
columns <- getIndicesVector(columns, ncol(exprs(es)))
data <- replacenas(data.frame(exprs(es[rows, columns])), replacena)
rows <- getIndicesVector(c(), nrow(data))
data <- t(scale(t(data)))
while (sum(is.na(data)) > 0) {
message("need to filter rows")
rows <- filternaRows(data, rows)
message(length(rows))
message(rows[length(rows)])
data <- data[rows, ]
data <- replacenas(data, replacena)
data <- t(scale(t(data)))
}
data
}
replacenas <- function(data, replacena) {
ind <- which(is.na(data), arr.ind = TRUE)
if (nrow(ind) > 0) {
data[ind] <- apply(data, 1, replacena, na.rm = TRUE)[ind[, 1]]
}
ind1 <- which(!is.nan(as.matrix(data)), arr.ind = TRUE)
left.rows <- unique(ind1[, "row"])
data <- data[left.rows, ]
data
}
filternaRows <- function(data, currentRows) {
sums <- rowSums(data)
rows <- currentRows[!(currentRows %in% which(is.na(sums)))]
rows
}
#' Reads ExpressionSet from 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
#' \dontrun{
#' read.gct(system.file("extdata", "centers.gct", package = "phantasus"))
#' }
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")
}
t <- read.tsv(gct, skip = 2 + 1 + ann.col, nrows = size[1],
col.names = unlist(strsplit(meta[3], "\t")),
row.names = 1, header = FALSE, ...)
exp <- as.matrix(t[, (ann.row + 1):ncol(t)])
fdata <- makeAnnotated(t[, seq_len(ann.row), drop = FALSE])
if (ann.col > 0) {
pdata.raw <- t(read.tsv(gct, skip = 2 + 1, nrows = ann.col,
header = FALSE))
pdata <- data.frame(pdata.raw[seq_len(ncol(exp)) + 1 + ann.row, ,
drop = FALSE])
colnames(pdata) <- pdata.raw[1, ]
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
}
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
res <- list(data = data, pdata = pdata, fdata = fdata,
rownames = rownames,
colMetaNames = varLabels(es),
rowMetaNames = fvarLabels(es))
res
}
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