data(CCLE_small)
data(Mitochondrial_genes)
mito.loc <- which(row.names(CCLE_small) %in% Mitochondrial_genes)
CCLE.mito <- CCLE_small[mito.loc,]
random.seed <- sample(seq(length = dim(CCLE.mito)[2]),10)
CCLE.seed <- FindSeed(gem = CCLE.mito,
seed.size = 10,
iterations = 100,
messages = 100)
CorScoreCalc(CCLE.mito, random.seed)
CorScoreCalc(CCLE.mito, CCLE.seed)
CCLE.hicor.genes <- as.numeric(HclustGenesHiCor(CCLE.mito,
CCLE.seed,
cuts = 8))
CorScoreCalc(CCLE.mito[CCLE.hicor.genes,], CCLE.seed)
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