tissue_specific_genes: Log2 gene expression data for kidney and liver "specific"...
In klovens/pineplot: Visualization of stacked symmetric matrices

A dataset containing the normalized gene expression data from mouse, chicken, and macaque RNA-seq data.

1	tissue_specific_genes

A matrix with 15 rows and 37 variables. The rows of the matrix represent genes that are predicted as being liver (first 10 rows) specific or kidney (last 5 rows) specific. Mouse samples are stored in columns 1-12, chicken in columns 13-24, and macaque in columns 25-37. The 37 variables are labelled as follows:

B: Brain samples
K: Kidney samples
L: Liver samples

data(tissue_specific_genes)
ch_grp <- c("B", "B", "K", "K", "L", "L", "B", "K", "B", "K", "L", "K")
mu_grp <- c("B", "B", "K", "K", "L", "L", "B", "K", "L", "B", "K", "L")
maca_grp <- c("B", "B", "K", "K", "L", "L", "L", "B", "K", "L", "B", "K", "L")
mouse <- 1:12
chicken <- 13:24
macaque <- 25:37

chicken.profile <- tissue_specific_genes[, chicken][, which(ch_grp == "L")]
mouse.profile <- tissue_specific_genes[, mouse][, which(mu_grp == "L")]
macaque.profile <- tissue_specific_genes[, macaque][, which(maca_grp == "L")]