| 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)
sd(vec,na.rm = na.rm)/mean(vec,na.rm = na.rm)
variability<-apply(giaever, 1, varMeas)
rks<-rank(variability)
giaever3000<-giaever[rks>length(rownames(giaever))-3000,]