Significancy of not differentially expressed genes
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Mike Ferker ▴ 10
@mike-ferker-1716
Last seen 9.6 years ago
Dear List, I have quite a big problem but probably a 'naive' question for you. I need to know if there is a good and broadly accepted way to select genes that are not differentially expressed in a microarray experiment. I am looking for a measure of the significance for the potential 'not differentially expressed' call that could be given to a gene and that can be considered reliable from the community. I have searched the internet but found just a couple of discussions and papers about selecting control genes (i.e. housekeeping) for real time pcr verification of microarrays results, but nothing more. Thanks Mike
Microarray Microarray • 893 views
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Naomi Altman ★ 6.0k
@naomi-altman-380
Last seen 3.0 years ago
United States
There is not. --Naomi At 05:36 AM 5/9/2006, Mike Ferker wrote: >Dear List, > >I have quite a big problem but probably a 'naive' >question for you. > >I need to know if there is a good and broadly accepted >way to select genes that are not differentially expressed >in a microarray experiment. >I am looking for a measure of the significance for the potential >'not differentially expressed' call that could be given to a gene >and that can be considered reliable from the community. > >I have searched the internet but found just a couple of discussions >and papers about selecting control genes (i.e. housekeeping) >for real time pcr verification of microarrays results, but >nothing more. > >Thanks > >Mike > >_______________________________________________ >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 Naomi S. Altman 814-865-3791 (voice) Associate Professor Dept. of Statistics 814-863-7114 (fax) Penn State University 814-865-1348 (Statistics) University Park, PA 16802-2111
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@mohammad-esad-djou-1159
Last seen 9.6 years ago
Hello Naomi, now I have a question. :) > >I am looking for a measure of the significance for the potential > >'not differentially expressed' call that could be given to a gene > >and that can be considered reliable from the community. I believe that you can find with multiple Testing (e.g. SAM, siggenes) 'not differentially expressed' genes. If H0 is correct: genes are not differentially expressed. did I understand correctly? I am not sure, but I believe that multiple Testing is helpful. Thanks, Mohammad > -----Urspr?ngliche Nachricht----- > Von: Naomi Altman <naomi at="" stat.psu.edu=""> > Gesendet: 09.05.06 23:15:28 > An: bioconductor at stat.math.ethz.ch > Betreff: Re: [BioC] Significancy of not differentially expressed genes > There is not. > > --Naomi > > At 05:36 AM 5/9/2006, Mike Ferker wrote: > >Dear List, > > > >I have quite a big problem but probably a 'naive' > >question for you. > > > >I need to know if there is a good and broadly accepted > >way to select genes that are not differentially expressed > >in a microarray experiment. > >I am looking for a measure of the significance for the potential > >'not differentially expressed' call that could be given to a gene > >and that can be considered reliable from the community. > > > >I have searched the internet but found just a couple of discussions > >and papers about selecting control genes (i.e. housekeeping) > >for real time pcr verification of microarrays results, but > >nothing more. > > > >Thanks > > > >Mike > > > >_______________________________________________ > >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 > > Naomi S. Altman 814-865-3791 (voice) > Associate Professor > Dept. of Statistics 814-863-7114 (fax) > Penn State University 814-865-1348 (Statistics) > University Park, PA 16802-2111 > > _______________________________________________ > 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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On 5/11/06 3:53 AM, "Mohammad Esad-Djou" <shahrgol at="" web.de=""> wrote: > Hello Naomi, > > now I have a question. :) > >>> I am looking for a measure of the significance for the potential >>> 'not differentially expressed' call that could be given to a gene >>> and that can be considered reliable from the community. > > I believe that you can find with multiple Testing (e.g. SAM, siggenes) 'not > differentially expressed' genes. > If H0 is correct: genes are not differentially expressed. > did I understand correctly? > > I am not sure, but I believe that multiple Testing is helpful. Unfortunately, it is not quite that simple. Hypothesis testing (in the statistical sense) does not allow one to say that "if we have no evidence for differential expression, the genes are expressed similarly". It simply means that we do not have evidence that the genes are differentially expressed, which could happen for many reasons besides them not being differentially expressed. In other words, typical hypothesis testing lets us guard against particular types of errors, and drawing conclusions based on "accepting the null hypothesis" like you suggest does not allow one to guard against those errors. Perhaps if you have a particular situation that you are thinking of, you could share it in case others on the list have any creative answers for you. Sean
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