multiple groups time course RNA Seq LIMMA
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Riba Michela ▴ 40
@riba-michela-6325
Last seen 9.6 years ago
Hi, I'm approaching a RNA-seq experiment concerning the analysis of a time course of 5 time points in 6 experimental groups (including Control group). As an example: FileName Group Time a Control 6hr b Control 24h . e ExpG1 6hr f ExpG1 24hr l ExpG2 6hr m ExpG2 24hr ... (ExpG1, ExpG2 are experimental groups) I'm going to use LIMMA for extraction of time changing genes in the single experimental groups compared to Control group. I'd like to see how to extract this result in the topTable (i.e. which coefficients select) for each single comparison of the experimental group towards Control) since from the provided example in the LIMMA manual (pag. 49) such topTable is referred to a design concerning one single experimental group towards Control in a time course instead of multiple experimental groups. Is there in addition the possibility to design a contrast matrix in such situations or is it better to consider topTables using various coefficients blocks? Thanks a lot for your answer Michela Riba . Dr. Michela Riba Genome Function Unit Center for Translational Genomics and Bioinformatics San Raffaele Hospital Milano . [[alternative HTML version deleted]]
limma limma • 1.0k views
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@gordon-smyth
Last seen 1 hour ago
WEHI, Melbourne, Australia
Dear Riba, The advice given in Section 9.6.2 of the User's Guide will still work fine even when Group as more than two levels. Just type colnames(fit) and it will be obvious which coefficients correspond to which experimental group. Yes, you could use contrast.fit() if you wish, but there seems to me to be no reason to do so. Best wishes Gordon > Date: Tue, 14 Jan 2014 11:53:11 +0100 > From: Riba Michela <riba.michela at="" hsr.it=""> > To: "bioconductor at r-project.org" <bioconductor at="" r-project.org=""> > Subject: [BioC] multiple groups time course RNA Seq LIMMA > > > Hi, > I'm approaching a RNA-seq experiment concerning the analysis of a time > course of 5 time points in 6 experimental groups (including Control > group). > As an example: > > FileName Group Time > a Control 6hr > b Control 24h > ... > e ExpG1 6hr > f ExpG1 24hr > ... > l ExpG2 6hr > m ExpG2 24hr > ... > (ExpG1, ExpG2 are experimental groups) > > I'm going to use LIMMA for extraction of time changing genes in the > single experimental groups compared to Control group. > > I'd like to see how to extract this result in the topTable (i.e. which > coefficients select) for each single comparison of the experimental > group towards Control) since from the provided example in the LIMMA > manual (pag. 49) such topTable is referred to a design concerning one > single experimental group towards Control in a time course instead of > multiple experimental groups. > > Is there in addition the possibility to design a contrast matrix in such > situations or is it better to consider topTables using various > coefficients blocks? > > > Thanks a lot for your answer > Michela Riba > > ... > > Dr. Michela Riba > Genome Function Unit > Center for Translational Genomics and Bioinformatics > San Raffaele Hospital > Milano > ... ______________________________________________________________________ The information in this email is confidential and intend...{{dropped:4}}
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Hi, thanks a lot for your quick, kind answer and advice. I will go through it in the coming days. Michela Dr. Michela Riba Genome Function Unit Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute Via Olgettina 58 20132 Milano Italy lab: +39 02 2643 9114 skype: mic_mir32 riba.michela@gmail.com<mailto:riba.michela@gmail.com> riba.michela@hsr.it Se avete ricevuto il presente messaggio per errore, Vi preghiamo di darne immediata comunicazione al mittente e di provvedere alla sua cancellazione dal vostro computer. Grazie If you have received this e-mail in error, please let the sender know and delete it from your computer. Thank you Il giorno 15/gen/2014, alle ore 00:53, Gordon K Smyth <smyth@wehi.edu.au<mailto:smyth@wehi.edu.au>> ha scritto: Dear Riba, The advice given in Section 9.6.2 of the User's Guide will still work fine even when Group as more than two levels. Just type colnames(fit) and it will be obvious which coefficients correspond to which experimental group. Yes, you could use contrast.fit() if you wish, but there seems to me to be no reason to do so. Best wishes Gordon Date: Tue, 14 Jan 2014 11:53:11 +0100 From: Riba Michela <riba.michela@hsr.it<mailto:riba.michela@hsr.it>> To: "bioconductor@r-project.org<mailto:bioconductor@r-project.org>" <bioconductor@r-project.org<mailto:bioconductor@r-project.org>> Subject: [BioC] multiple groups time course RNA Seq LIMMA Hi, I'm approaching a RNA-seq experiment concerning the analysis of a time course of 5 time points in 6 experimental groups (including Control group). As an example: FileName Group Time a Control 6hr b Control 24h ... e ExpG1 6hr f ExpG1 24hr ... l ExpG2 6hr m ExpG2 24hr ... (ExpG1, ExpG2 are experimental groups) I'm going to use LIMMA for extraction of time changing genes in the single experimental groups compared to Control group. I'd like to see how to extract this result in the topTable (i.e. which coefficients select) for each single comparison of the experimental group towards Control) since from the provided example in the LIMMA manual (pag. 49) such topTable is referred to a design concerning one single experimental group towards Control in a time course instead of multiple experimental groups. Is there in addition the possibility to design a contrast matrix in such situations or is it better to consider topTables using various coefficients blocks? Thanks a lot for your answer Michela Riba ... Dr. Michela Riba Genome Function Unit Center for Translational Genomics and Bioinformatics San Raffaele Hospital Milano ... ______________________________________________________________________ The information in this email is confidential and intend...{{dropped:10}}
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