Interpeting gene expression data: A mathematical challenge
Gene expression data sets are peculiar in the sense that
we typically have very few experiments (5-10 perhaps)
and a large number (tens of thousands) monitored genes.
It seems inevitable that some genes will show similar
expression profiles just by random accident.
Question: How can we tell spurious clusters of genes
from biologically meaningful ones?