Mohammadian
2019-Sep-21 08:08 UTC
[R] Meta-analysis on microaray data, when a sinlge experiment contains diferent tissues
Hi! I dont know whether this is the best place to ask this question, however: Suppose I want to perform meta-analysis on 10 different microarray studies. Study Tissue-source Study1 Neuron Study2 Blood Study3 Neuron and PBMC ...... Study10 ... How should I treat Study3? The R package I want to use is among MetaMA, MetaDE, and perhaps crossMeta Even a reference article/book/tutorial would be appreciated. Thanks in advance
ঋষি ( ऋषि / rIsHi )
2019-Sep-21 08:16 UTC
[R] Meta-analysis on microaray data, when a sinlge experiment contains diferent tissues
Yes this is not the best place, rather it should be better asked in bioinformatics forums like biostar and bioconductor. On Sat, Sep 21, 2019 at 11:08 AM Mohammadian <mohammadian02 at gmail.com> wrote:> Hi! > > I dont know whether this is the best place to ask this question, however: > > Suppose I want to perform meta-analysis on 10 different microarray studies. > > Study Tissue-source > Study1 Neuron > Study2 Blood > Study3 Neuron and PBMC > ...... > Study10 ... > > How should I treat Study3? > The R package I want to use is among MetaMA, MetaDE, and perhaps crossMeta > Even a reference article/book/tutorial would be appreciated. > > Thanks in advance > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >-- With regards Rishi Das Roy [[alternative HTML version deleted]]
Mohammadian
2019-Sep-21 08:37 UTC
[R] Meta-analysis on microaray data, when a sinlge experiment contains diferent tissues
Thank for the prompt response. On 9/21/19, ??? ( ??? / rIsHi ) <rishi.dasroy at gmail.com> wrote:> Yes this is not the best place, rather it should be better asked in > bioinformatics forums like biostar and bioconductor. > > On Sat, Sep 21, 2019 at 11:08 AM Mohammadian <mohammadian02 at gmail.com> > wrote: > >> Hi! >> >> I dont know whether this is the best place to ask this question, however: >> >> Suppose I want to perform meta-analysis on 10 different microarray >> studies. >> >> Study Tissue-source >> Study1 Neuron >> Study2 Blood >> Study3 Neuron and PBMC >> ...... >> Study10 ... >> >> How should I treat Study3? >> The R package I want to use is among MetaMA, MetaDE, and perhaps >> crossMeta >> Even a reference article/book/tutorial would be appreciated. >> >> Thanks in advance >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > > -- > > > > With regards > Rishi Das Roy >