F values from topTable with coef=NULL testing all zero or all equal?
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@michael-muratet-3076
Last seen 10.1 years ago
Greetings This has probably been answered before, but I can't narrow the search down enough to find it in the archives. I am looking at the output from and documentation for eBayes and realized that the null hypothesis for the F statistic is that all the expression values are zero. I want to test the hypothesis that all the expression values are equal, i.e., rejection implies differential expression. I see from the topTable documentation that calling it with coef=NULL will yield an F statistic calculation, and I infer from the docs it will include all the conditions. What is the null hypothesis: that all the values are equal, or that all the values are zero? Thanks Mike Michael Muratet, Ph.D. Senior Scientist HudsonAlpha Institute for Biotechnology mmuratet at hudsonalpha.org (256) 327-0473 (p) (256) 327-0966 (f) Room 4005 601 Genome Way Huntsville, Alabama 35806
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@james-w-macdonald-5106
Last seen 1 day ago
United States
Hi Michael, On 10/24/2011 3:21 PM, Michael Muratet wrote: > Greetings > > This has probably been answered before, but I can't narrow the search > down enough to find it in the archives. I am looking at the output > from and documentation for eBayes and realized that the null > hypothesis for the F statistic is that all the expression values are > zero. I want to test the hypothesis that all the expression values are > equal, i.e., rejection implies differential expression. I see from the > topTable documentation that calling it with coef=NULL will yield an F > statistic calculation, and I infer from the docs it will include all > the conditions. What is the null hypothesis: that all the values are > equal, or that all the values are zero? I think you misunderstood the help for eBayes(). It states that the F-statistic tests that all _contrasts_ are zero, which is not the same as all expression values equal to zero (which wouldn't make sense). If a contrast is equal to zero, it implies no differential expression between the samples compared in that contrast (or more correctly, a sufficiently small F-statistic implies that you are unable to reject the null hypothesis of a difference in any contrast). Note that you are only testing those contrasts that you specified via a contrasts matrix, or specified indirectly via your design matrix. Best, Jim > > Thanks > > Mike > > > > Michael Muratet, Ph.D. > Senior Scientist > HudsonAlpha Institute for Biotechnology > mmuratet at hudsonalpha.org > (256) 327-0473 (p) > (256) 327-0966 (f) > > Room 4005 > 601 Genome Way > Huntsville, Alabama 35806 > > _______________________________________________ > 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 -- James W. MacDonald, M.S. Biostatistician Douglas Lab University of Michigan Department of Human Genetics 5912 Buhl 1241 E. Catherine St. Ann Arbor MI 48109-5618 734-615-7826 ********************************************************** Electronic Mail is not secure, may not be read every day, and should not be used for urgent or sensitive issues
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On Oct 25, 2011, at 8:11 AM, James W. MacDonald wrote: > Hi Michael, > > On 10/24/2011 3:21 PM, Michael Muratet wrote: >> Greetings >> >> This has probably been answered before, but I can't narrow the >> search down enough to find it in the archives. I am looking at the >> output from and documentation for eBayes and realized that the null >> hypothesis for the F statistic is that all the expression values >> are zero. I want to test the hypothesis that all the expression >> values are equal, i.e., rejection implies differential expression. >> I see from the topTable documentation that calling it with >> coef=NULL will yield an F statistic calculation, and I infer from >> the docs it will include all the conditions. What is the null >> hypothesis: that all the values are equal, or that all the values >> are zero? > > I think you misunderstood the help for eBayes(). It states that the > F-statistic tests that all _contrasts_ are zero, which is not the > same as all expression values equal to zero (which wouldn't make > sense). > > If a contrast is equal to zero, it implies no differential > expression between the samples compared in that contrast (or more > correctly, a sufficiently small F-statistic implies that you are > unable to reject the null hypothesis of a difference in any > contrast). Note that you are only testing those contrasts that you > specified via a contrasts matrix, or specified indirectly via your > design matrix. > > Best, > > Jim Thanks, I understand it now. M > > >> >> Thanks >> >> Mike >> >> >> >> Michael Muratet, Ph.D. >> Senior Scientist >> HudsonAlpha Institute for Biotechnology >> mmuratet at hudsonalpha.org >> (256) 327-0473 (p) >> (256) 327-0966 (f) >> >> Room 4005 >> 601 Genome Way >> Huntsville, Alabama 35806 >> >> _______________________________________________ >> 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 > > -- > James W. MacDonald, M.S. > Biostatistician > Douglas Lab > University of Michigan > Department of Human Genetics > 5912 Buhl > 1241 E. Catherine St. > Ann Arbor MI 48109-5618 > 734-615-7826 > > ********************************************************** > Electronic Mail is not secure, may not be read every day, and should > not be used for urgent or sensitive issues Michael Muratet, Ph.D. Senior Scientist HudsonAlpha Institute for Biotechnology mmuratet at hudsonalpha.org (256) 327-0473 (p) (256) 327-0966 (f) Room 4005 601 Genome Way Huntsville, Alabama 35806
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