RE : Re: question on limma package
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@richard-friedman-513
Last seen 10.3 years ago
Dear El Mouselly, B is the log odds score that the genes are differentially expressed. if odds>1 that the genes are differentially expressed is a cutoff then B=log odds>0 is the cutoff. According to Gordon Smyth the author of Limma (and Gordon please correct me if I am wrong) the B>0 cutoff is recommended over p-value cutoffs. If you wish to use a p-value cutoff then you can either correct for fmultiple tests by using p<.001 or by correcting the p-value in some way (I use Benjamin-Hochberg false discoveries) and use p-corrected<.05. By validation by pcr I mean checking by pcr if genes with B>0 are indeed differentially expressed. I hope that this helps. I can send you my course powerpoint slides on this subject off list if you are interested. Best wishes, Rich On Jul 18, 2007, at 10:49 AM, el mousselly antra wrote: > dear friedman, > i have not well understand , my question > is when i obtain the list list of p-value of different genes > (after executing limma) > i don't know if i consdier all genes that they have p-value < 0.05 > are differentially expresed or > butor we take a number very small than 0.05 in order to obtain > minimum of genes differentially expressd in the result butmore > reliable . > in you response i don't undertand > i have not undersytand a b <f 0="" and="" also="" the="" validation="" by="" pcr=""> thank you > sincerly > Richard Friedman <friedman at="" cancercenter.columbia.edu=""> a ?crit : > Dear Mouselly, > > A B>f 0 is a good place to start. > It is advisable to spot check genes by PCR to validate the cutoff. > > Best wishes, > Rich > > On Jul 18, 2007, at 10:06 AM, el mousselly antra wrote: > > > hi, > > i have a question on limma package > > when we have the result of tnis pakage and we have p-vlue and the > > value of B . > > i i want to know on wich value of p we consider that genes are DE , > > we take 0.05 is the threshold or what and i see that when we > consider > > 0.05 as threshold wa have a lot of genes DE. > > so, i want some rule (threshold)that will be raisonnable and > > efficient to detect gnes DE > > thank you > > sincerly > > > > > > > > > > --------------------------------- > > > > [[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 > > ------------------------------------------------------------ > Richard A. Friedman, PhD > Biomedical Informatics Shared Resource > Lecturer > Department of Biomedical Informatics > Educational Coordinator > Center for Computational Biology and Bioinformatics > National Center for Multiscale Analysis of Genomic Networks > Box 95, Room 130BB or P&S 1-420C > Columbia University Medical Center > 630 W. 168th St. > New York, NY 10032 > (212)305-6901 (5-6901) (voice) > friedman at cancercenter.columbia.edu > http://cancercenter.columbia.edu/~friedman/ > > In memoriam, John Stewart Williamson > > > > Ne gardez plus qu'une seule adresse mail ! Copiez vos mails vers > Yahoo! Mail ------------------------------------------------------------ Richard A. Friedman, PhD Biomedical Informatics Shared Resource Lecturer Department of Biomedical Informatics Educational Coordinator Center for Computational Biology and Bioinformatics National Center for Multiscale Analysis of Genomic Networks Box 95, Room 130BB or P&S 1-420C Columbia University Medical Center 630 W. 168th St. New York, NY 10032 (212)305-6901 (5-6901) (voice) friedman at cancercenter.columbia.edu http://cancercenter.columbia.edu/~friedman/ In memoriam, John Stewart Williamson
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@william-mifsud-2269
Last seen 10.3 years ago
Dear Bioconductor, Further to the previous questions about cutoffs for DE genes, I was wondering to what extent, if at all, do the adjusted (and unadjusted) p-values and B statistics depend on the number of probes on the array/'present' probes in a particular experiment? Best wishes, Will -- William Mifsud
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Hi Will, I don't know about B statistics offhand (I never use them), but the adjusted p-values are completely dependent on the number of probes that you analyze together. In fact, "adjusted" refers to the correction for multiple hypothesis testing, which is what you are doing when you do a series of linear models on the probes. Check out ?p.adjust and the references in there for details on different adjustment methods. In limma, the unadjusted p-values are only slightly affected by the number of other probes analyzed at the same time, because it uses a Bayesian correction based on the unexplained variation across all probes. HTH, Jenny At 05:27 AM 7/19/2007, William Mifsud wrote: >Dear Bioconductor, > >Further to the previous questions about cutoffs for DE genes, I was >wondering to what extent, if at all, do the adjusted (and unadjusted) >p-values and B statistics depend on the number of probes on the >array/'present' probes in a particular experiment? > >Best wishes, > >Will >-- > >William Mifsud > >_______________________________________________ >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 Jenny Drnevich, Ph.D. Functional Genomics Bioinformatics Specialist W.M. Keck Center for Comparative and Functional Genomics Roy J. Carver Biotechnology Center University of Illinois, Urbana-Champaign 330 ERML 1201 W. Gregory Dr. Urbana, IL 61801 USA ph: 217-244-7355 fax: 217-265-5066 e-mail: drnevich at uiuc.edu
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