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Matrices of simulated gene expression data, each for 98 individuals
at 5,000 genes. Think of expr1
and expr2
as
expression data on two different tissues.
data(expr1)
data(expr2)
A matrix of integers, individuals as rows and genes as columns.
genepos()
, f2cross()
, pmap()
data(expr1)
data(expr2)
# identify the common individuals
id <- findCommonID(rownames(expr1), rownames(expr2))
# correlation between tissues for each gene
rho <- corbetw2mat(expr1[id$first,], expr2[id$second,])
hist(rho, breaks=100)
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