Newbie question on GOstats (hyperGTest) for dual channel (from SMD) arrays
2
0
Entering edit mode
Paul Evans ▴ 180
@paul-evans-2716
Last seen 9.7 years ago
An embedded and charset-unspecified text was scrubbed... Name: not available Url: https://stat.ethz.ch/pipermail/bioconductor/attachments/20080326/ 06e5f274/attachment.pl
• 625 views
ADD COMMENT
0
Entering edit mode
Marc Carlson ★ 7.2k
@marc-carlson-2264
Last seen 7.7 years ago
United States
Paul Evans wrote: > Hi, > > I had a microarray dataset (dual channel taken from Stanford Microarray Database) of 20,000 genes. I have used a filtering technique to reduce this to about 2500 genes. I now want to perform clustering and use the hyperGTest, as given in the GOstats: > > hgCutoff <- 0.001 > params <- new("GOHyperGParams", geneIds = selectedEntrezIds, > universeGeneIds = entrezUniverse, annotation = "hgu95av2", > ontology = "BP", pvalueCutoff = hgCutoff, conditional = FALSE, > testDirection = "over") > > > I understand that the universeGeneIds will be the entrez ids of the 2500 genes, and that the selectedEntrezIds are the entrez ids of the genes in a cluster, but what should I choose as the annotation package? I don't think the SMD gives the details of the array that was used. > > many thanks! > > > > > > > ______________________________________________________________ ______________________ > Looking for last minute shopping deals? > > [[alternative HTML version deleted]] > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor > > Do you know what organism are the data from? Marc
ADD COMMENT
0
Entering edit mode
Paul Evans ▴ 180
@paul-evans-2716
Last seen 9.7 years ago
An embedded and charset-unspecified text was scrubbed... Name: not available Url: https://stat.ethz.ch/pipermail/bioconductor/attachments/20080326/ de9ea54c/attachment.pl
ADD COMMENT
0
Entering edit mode
Paul Evans wrote: > Hi Marc, > > Yes, the organism would be homo sapiens. > > > > > ----- Original Message ---- > From: Marc Carlson <mcarlson at="" fhcrc.org=""> > To: Paul Evans <p.evans48 at="" yahoo.com=""> > Cc: Bioconductor at stat.math.ethz.ch > Sent: Wednesday, March 26, 2008 12:05:20 PM > Subject: Re: [BioC] Newbie question on GOstats (hyperGTest) for dual > channel (from SMD) arrays > > Paul Evans wrote: > > Hi, > > > > I had a microarray dataset (dual channel taken from Stanford > Microarray Database) of 20,000 genes. I have used a filtering > technique to reduce this to about 2500 genes. I now want to perform > clustering and use the hyperGTest, as given in the GOstats: > > > > hgCutoff <- 0.001 > > params <- new("GOHyperGParams", geneIds = selectedEntrezIds, > > universeGeneIds = entrezUniverse, annotation = "hgu95av2", > > ontology = "BP", pvalueCutoff = hgCutoff, conditional = FALSE, > > testDirection = "over") > > > > > > I understand that the universeGeneIds will be the entrez ids of the > 2500 genes, and that the selectedEntrezIds are the entrez ids of the > genes in a cluster, but what should I choose as the annotation > package? I don't think the SMD gives the details of the array that was > used. > > > > many thanks! > > > > > Then I would try to use the org.Hs.eg.db package. This package provides annotations for all the entrez gene IDs in Homo sapiens. Marc
ADD REPLY

Login before adding your answer.

Traffic: 729 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6