The algorithm is processed in bounded memory, meaning a very large
number of arrays can be analyzed on also very limited computer systems.
The only limitation is the amount of memory required to load the final
chip-effect estimates into memory (as a ExpressionSet
).
"justRMA"(csR, flavor=c("oligo", "affyPLM"), ..., verbose=FALSE) "justRMA"(...)
AffymetrixCelSet
.character
string specifying the estimators used in
the RMA summarization step.doRMA
() used internally.Verbose
.ExpressionSet
.
justRMA
in affy package quite well. It does so by still using a
constant memory profile, i.e. it is possible to use this implementation
to run RMA on a much large data set than what is possible with
affy. At least 20-50 times more samples should be
doable, if not more.doRMA
().