| giaever {GraphAT} | R Documentation |
This data set contains fitness deficiency scores from gene knockout experiments involving yeast grown under a variety of altered environments (e.g. acid, heat, sorbitol, etc.)
data(giaever)
A matrix whose rows are the 5922 genes knocked out and whose columns are the 32 experimental conditions.
http://gobi.lbl.gov/YeastFitnessData
Giaever, G. et al. 2002 ``Functional profiling of the Saccharomyces cerevisiae genome.'' Nature 418, 387–391.
data(giaever)
## Find the 3000 most variable genes, according to sd/mean:
varMeas <- function(vec, na.rm=TRUE)
{
if(na.rm)
vec <- vec[!is.na(vec)]
if(length(vec) == 0)
measure <- NA
else
measure <- sd(vec)/mean(vec)
return(measure)
}
variability <- apply(giaever, 1, varMeas)
rks <- rank(variability)
giaever3000 <- giaever[rks>length(rownames(giaever))-3000,]