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# TargetScore
# logFC: N x 1 data matrix for log fold-change of N genes
# seqscores: N x D sequence-based scores matrix for D sequence-based features
# Author: Yue Li (yueli@cs.toronto.edu)
targetScore <- function(logFC, seqScores, ...) {
if(!missing(seqScores)) {
stopifnot(nrow(logFC) == nrow(seqScores))
}
message(sprintf("\n\nCalculate targetScores for %s genes\n", length(logFC)))
stage <- 1
message(sprintf("%s. Infer target component from logFC:\n", as.roman(stage)))
posteriors <- vbgmm(logFC, init=3, ...)$R[,1,drop=F]
if(!missing(seqScores)) {
p.seq <- do.call("cbind", lapply(1:ncol(seqScores),
function(j) {
message(sprintf("%s. Infer target component from %s:\n",
as.roman(stage+j), colnames(seqScores)[j]))
vbgmm(seqScores[,j,drop=F], init=2, ...)$R[,1,drop=F]
}))
posteriors <- cbind(posteriors, p.seq)
}
sigmoid(-logFC) * apply(posteriors, 1, mean)
}
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