# geo_data: data matrix with drugs on rows, genes on columns.
# should be filtered after differential expression, and should be a -1, 0, 1 matrix for drug effect
#
# drug_names: names of drugs in the data set
# gene_ids: colnames of geo_data, should be entrez ids.
geo_matrix <- function(geo_data, drug_names, gene_ids) {
genes_up <- paste(gene_ids, "up")
genes_down <- paste(gene_ids, "down")
ds_up <- geo_data
ds_down <- geo_data
ds_up[ds_up == -1] <- 0
ds_down[ds_down == 1] <- 0
ds_down <- ds_down * -1
gup <- paste(gene_ids, "up")
gdown <- paste(gene_ids, "down")
ds <- cbind(ds_up, ds_down)
ds <- Matrix::Matrix(ds, sparse = TRUE)
colnames(ds) <- c(gup, gdown)
return(list(matrix = ds, drug_names = drug_names))
}
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