2009/7/16 Anqi > Hi Sean, > I have tried my dataset out in the aroma.affymetrix package and it DOES > work. Thanks so much for your help! > > Glad to hear that did the trick. Sean > Best, > Anqi > > > 在2009-07-16 12:19:29，"Sean Davis" 写道： > > > > On Thu, Jul 16, 2009 at 12:14 AM, Anqi wrote: > >> To whom it may concern, >> I am a student from Peking University, China. I am currently doing some >> microarray data analysis research with Bioconductor package of R. >> >> Problem arises when I try to import into R my dataset which contains 109 >> samples (total size more than 1.4 GB). The memory limit of R makes importing >> all the samples into one AffyBatch object a "mission impossible" for me. >> >> Though it will be possible to import data into several AffyBatch objects, >> and do the preprocessing respectively. Yet in this case, the results of >> background correction or normalization are not desirable, because not all >> the information known (namely 109 samples) is used to obtain a baseline or >> something like that. >> >> An alternative approach would be to pre-process the data in dChip, and >> then export it into R. Yet I am thinking about an approach that relies >> solely on R. >> >> Would you please give some suggestions on this issue, though it might be >> more a technical problem than a scientific (statistical) one? Much thanks >> for your help! look forward to your reply! All the best to your work! >> >> > You could try using the xps or aroma.affymetrix packages. I think both are > designed to deal with large datasets. > > Sean > > > > > ------------------------------ > 200万种商品,最低价格,疯狂诱惑你 [[alternative HTML version deleted]]