ChrMapHyperGParams and linearMTest in Category
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Daren Tan ▴ 120
@daren-tan-3309
Last seen 10.2 years ago
Beyond the scope of the manual and vigenettes of Category and GOStats, I would like to understand more about ChrMapHyperGParams and linearMTest. After successfully using "GOHyperGParams" and "KEGGHyperGParams" with platform-independent annotation database "org.Hs.eg.db", I tried to do the same with "ChrMapHyperGParams" but kept getting error messages that "org.Hs.egENTREZID" couldn't be found. This was unexpected as I couldn't fanthom why ChrMapHyperGParams would need probes information. I would like to get around this problem even with "org.Hs.eg.db" so that my enrichment analysis would be complete for GO/Pathway/CHR. hyperGTest and linearMTest use hypergeometric distribution and linear model respectively as their names implied. What situations will either tests be more suitable for ? Would both tests at same p-value cutoffs give similar results ? Should I even favour hyperGTest or linearMTest ? Previously, I used david and panther and wondered is it appropriate to get FDR based on bonferroni-tests from the p-values of hyperGTest and linearMTest. Would FDR be meaningful for GO/Pathway/CHR enrichment analysis ?
Annotation GOstats Category Annotation GOstats Category • 1.0k views
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Daren Tan ▴ 120
@daren-tan-3309
Last seen 10.2 years ago
Hope someone or the developer of GOStats/Category can answer my queries. On Sat, Apr 4, 2009 at 11:28 AM, Daren Tan <darentan76 at="" gmail.com=""> wrote: > Beyond the scope of the manual and vigenettes of Category and GOStats, > I would like to understand more about ChrMapHyperGParams and > linearMTest. > > After successfully using "GOHyperGParams" and "KEGGHyperGParams" with > platform-independent annotation database "org.Hs.eg.db", I tried to do > the same with "ChrMapHyperGParams" but kept getting error messages > that "org.Hs.egENTREZID" couldn't be found. This was unexpected as I > couldn't fanthom why ChrMapHyperGParams would need probes information. > I would like to get around this problem even with "org.Hs.eg.db" so > that my enrichment analysis would be complete for GO/Pathway/CHR. > > hyperGTest and linearMTest use hypergeometric distribution and linear > model respectively as their names implied. What situations will either > tests be more suitable for ? Would both tests at same p-value cutoffs > give similar results ? Should I even favour hyperGTest or linearMTest > ? > > Previously, I used david and panther and wondered is it appropriate to > get FDR based on bonferroni-tests from the p-values of hyperGTest and > linearMTest. Would FDR be meaningful for GO/Pathway/CHR enrichment > analysis ? >
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Hi Daren, We aren't trying to ignore you. Everyone is just extra busy right now because we are trying to do a release. We really appreciate you letting us know that there is a problem however. If you could please provide me with a specific testable example that does not work, this will greatly help me to expedite the process of making sure that it does. Otherwise I have to guess about what happened and that takes A LOT longer. Also, please always post your sessionInfo() so that we know what version of things you are working with. You might also find our posting guide to be helpful. http://www.bioconductor.org/docs/postingGuide.html It's my hope that you might find some information for your other questions in the Category vignettes here: http://www.bioconductor.org/packages/devel/bioc/html/Category.html Thanks again for your patience, Marc Daren Tan wrote: > Hope someone or the developer of GOStats/Category can answer my queries. > > On Sat, Apr 4, 2009 at 11:28 AM, Daren Tan <darentan76 at="" gmail.com=""> wrote: > >> Beyond the scope of the manual and vigenettes of Category and GOStats, >> I would like to understand more about ChrMapHyperGParams and >> linearMTest. >> >> After successfully using "GOHyperGParams" and "KEGGHyperGParams" with >> platform-independent annotation database "org.Hs.eg.db", I tried to do >> the same with "ChrMapHyperGParams" but kept getting error messages >> that "org.Hs.egENTREZID" couldn't be found. This was unexpected as I >> couldn't fanthom why ChrMapHyperGParams would need probes information. >> I would like to get around this problem even with "org.Hs.eg.db" so >> that my enrichment analysis would be complete for GO/Pathway/CHR. >> >> hyperGTest and linearMTest use hypergeometric distribution and linear >> model respectively as their names implied. What situations will either >> tests be more suitable for ? Would both tests at same p-value cutoffs >> give similar results ? Should I even favour hyperGTest or linearMTest >> ? >> >> Previously, I used david and panther and wondered is it appropriate to >> get FDR based on bonferroni-tests from the p-values of hyperGTest and >> linearMTest. Would FDR be meaningful for GO/Pathway/CHR enrichment >> analysis ? >> >> > > _______________________________________________ > 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 > >
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