Thanks a bunch, Ekta! Sorted. -Avoks On Tue, May 15, 2012 at 12:29 PM, Ekta Jain <ekta_jain at="" jubilantbiosys.com=""> wrote: > Hi Avoks, > The toptable is generated from your fit object. In LIMMA, you would need an object for the Venn Diagram function (http://127.0.0.1:22029/library/limma/html/venn.html) this in your case should be a vennCounts or decideTests(fit). > > But if you do not have access to your fit object and only have the toptable, then what you could do is read your toptables data in separate vectors or dataframes. Intersect() and merge() can give you common genes BUT between 2 vectors only. > > Intersect2() can apparently work on more than two vectors http://cran.r-project.org/web/packages/MergeGUI/MergeGUI.pdf. > > These can give you a start. You could read more on the same functions as well. > > > HTH, > Ekta > > > -----Original Message----- > From: Ovokeraye Achinike-Oduaran [mailto:ovokeraye at gmail.com] > Sent: 15 May 2012 12:21 > To: Ekta Jain > Cc: bioconductor at r-project.org > Subject: Re: [BioC] Extracting topTable data from saved file > > Thanks Ekta. I don't think that that's what I'm looking for though. I probably wasn't very clear with my question. I already have topTables meeting my set thresholds from different studies relating to a certain condition saved on my comp. So, what I'm looking to do now is to call on these saved text files to get a list of genes common across, say, tables 1,2 &3 (an intersect). As well as a list of unique genes per table (3 lists) and perhaps, a Venn diagram capturing the data from the 3 tables(1 Venn diagram with 3 circles). But thanks again. > > -Avoks > > > > > On 15 May 2012, at 6:03 AM, Ekta Jain <ekta_jain at="" jubilantbiosys.com=""> wrote: > >> Hi Avoks, >> What you are looking for is the decideTests(). Assuming 'fit' is your LIMMA fit object, something like: >>> Results <- decideTests(fit) >> # gives you counts of upregulated(1) and downregulated(-1) genes in each comparison. Kindly note that default cut-off for LogFC =0, this can be changed >>> summary(Results) >>> vennDiagram(Results) >> # You can pull out commonly upregulated gene lists by doing >> geneList<-which(Results[,1] == 1 & results[,2] == 1) >> # and commonly downregulated by changing 1 to -1 above >> >> Hope this helps, >> Ekta >> >> >> -----Original Message----- >> From: bioconductor-bounces at r-project.org [mailto:bioconductor- bounces at r-project.org] On Behalf Of Ovokeraye Achinike-Oduaran >> Sent: 15 May 2012 08:26 >> To: bioconductor at r-project.org >> Subject: [BioC] Extracting topTable data from saved file >> >> Hi all, >> >> I have a few topTables saved from my Limma analyses of a number of studies. I would like to know what genes are common to groups of these tables, what genes are unique to each table and eventually draw a Venn diagram if possible. Any suggestions will be greatly appreciated. >> >> Thanks. >> >> -Avoks >> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor at r-project.org >> https://stat.ethz.ch/mailman/listinfo/bioconductor >> Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor >> The information contained in this electronic message and in any attachments to this message is confidential, legally privileged and intended only for use by the person or entity to which this electronic message is addressed. If you are not the intended recipient, and have received this message in error, please notify the sender and system manager by return email and delete the message and its attachments and also you are hereby notified that any distribution, copying, review, retransmission, dissemination or other use of this electronic transmission or the information contained in it is strictly prohibited. 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