create.gene.cutpoint <- function(pathway, rs, options){
pd <- pathway[pathway$SNP %in% rs, ]
GeneInGroup <- unique(pd$Gene)
ngene <- length(GeneInGroup)
GeneCutPoint <- list()
vGeneCutPoint <- NULL
GeneCutPointStartEnd <- matrix(NA, ngene, 2)
rownames(GeneCutPointStartEnd) <- GeneInGroup
colnames(GeneCutPointStartEnd) <- c("Start", "End")
inspect.snp.n <- options$inspect.snp.n
inspect.snp.percent <- options$inspect.snp.percent
for(g in 1:ngene){
gene <- GeneInGroup[g]
gene.size <- sum(pd$Gene == gene)
if(inspect.snp.percent == 0){
cp <- 1:min(inspect.snp.n, gene.size)
}else{
step <- floor(gene.size * inspect.snp.percent)
step <- max(1, step)
up.limit <- min(gene.size, inspect.snp.n * step)
up.limit <- max(up.limit, step)
cp <- seq(step, up.limit, by = step)
}
GeneCutPoint[[g]] <- cp
GeneCutPointStartEnd[gene, "Start"] <- length(vGeneCutPoint) + 1
vGeneCutPoint <- c(vGeneCutPoint, cp)
GeneCutPointStartEnd[gene, "End"] <- length(vGeneCutPoint)
}
list(vGeneCutPoint = vGeneCutPoint,
GeneCutPointStartEnd = GeneCutPointStartEnd)
}
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