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factdesign
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Multifactorial analysis with RMA and LIMMA of Affymetrix microarrays
GO
limma
factDesign
GO
limma
factDesign
20.1 years ago
Gordon Smyth
50k
0
votes
0
replies
920
views
Design in factDesign
limma
factDesign
limma
factDesign
20.1 years ago
Jordi Altirriba Gutiérrez
▴ 350
0
votes
1
reply
1.3k
views
[altirriba@hotmail.com: Design in factDesign] (fwd)
multtest
limma
factDesign
multtest
limma
factDesign
updated 20.1 years ago by
Jordi Altirriba Gutiérrez
▴ 350 • written 20.1 years ago by
Denise Scholtens
▴ 40
0
votes
2
replies
1.4k
views
[altirriba@hotmail.com: Design in factDesign] (fwd)
multtest
limma
factDesign
multtest
limma
factDesign
updated 20.1 years ago by
Kasper Daniel Hansen
▴ 630 • written 20.1 years ago by
Jordi Altirriba Gutiérrez
▴ 350
0
votes
0
replies
786
views
downstream analysis of differentially expressed genes
Microarray
Cancer
multtest
affy
limma
siggenes
factDesign
Microarray
Cancer
multtest
20.0 years ago
James W. MacDonald
65k
0
votes
1
reply
832
views
factdesign package
factDesign
factDesign
updated 20.0 years ago by
Denise Scholtens
▴ 40 • written 20.0 years ago by
Claire Wilson
▴ 280
0
votes
1
reply
798
views
factDesign - another question
factDesign
factDesign
updated 20.0 years ago by
Denise Scholtens
▴ 40 • written 20.0 years ago by
Claire Wilson
▴ 280
0
votes
0
replies
869
views
2x3 ANOVA
Microarray
multtest
gcrma
factDesign
PROcess
Microarray
multtest
gcrma
factDesign
PROcess
19.8 years ago
Jeff Lande
▴ 110
0
votes
1
reply
897
views
Fwd: Re: 2x3 ANOVA
factDesign
factDesign
updated 19.8 years ago by
Jeff Lande
▴ 110 • written 19.8 years ago by
Denise Scholtens
▴ 70
0
votes
2
replies
1.4k
views
'Factorial Design' package question
Survival
cdf
multtest
affy
factDesign
biomaRt
Survival
cdf
multtest
affy
factDesign
15.9 years ago
Glazko, Galina
▴ 350
0
votes
2
replies
2.9k
views
Random effects and variance components (was: Yet another nested design in limma)
affy
limma
siggenes
factDesign
maanova
affy
limma
siggenes
factDesign
maanova
updated 14.9 years ago by
James W. MacDonald
65k • written 14.9 years ago by
Paolo Innocenti
▴ 320
0
votes
0
replies
1.1k
views
Yet another nested design in limma
affy
limma
siggenes
factDesign
maanova
affy
limma
siggenes
factDesign
maanova
15.0 years ago
Paolo Innocenti
▴ 320
0
votes
2
replies
2.7k
views
Yet another nested design in limma
affy
limma
siggenes
factDesign
maanova
affy
limma
siggenes
factDesign
maanova
updated 15.0 years ago by
Paolo Innocenti
▴ 320 • written 15.0 years ago by
Gordon Smyth
50k
0
votes
0
replies
814
views
help with
factDesign
factDesign
14.9 years ago
Alberto Goldoni
▴ 420
0
votes
1
reply
995
views
help with factDesign package
factDesign
factDesign
updated 14.9 years ago by
Richard Pearson
▴ 160 • written 14.9 years ago by
Alberto Goldoni
▴ 420
0
votes
4
replies
1.2k
views
help with estrogen dataset in factdesign package
factDesign
factDesign
updated 14.9 years ago by
rgentleman
★ 5.5k • written 14.9 years ago by
Alberto Goldoni
▴ 420
0
votes
4
replies
1.1k
views
Does factDesign deal with two-color data?
Microarray
genefilter
affy
factDesign
Microarray
genefilter
affy
factDesign
updated 14.9 years ago by
Denise Scholtens
▴ 70 • written 14.9 years ago by
De-Jian ZHAO
▴ 240
17 results • Page
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Recent ...
Replies
Comment: CombineArrays for EPIC and EPIC V2
by
Kim
• 0
Thank you Tim, this is a great help in getting me started!
Comment: Too many significant genes when integrating gtex and tcga
by
Michael Love
41k
Yes, this was one of the aspects we highlighted in the 2014 paper, and it's also in the workflow. Check these places first. Also take a st…
Answer: Too many significant genes when integrating gtex and tcga
by
James W. MacDonald
65k
See `?results`, in particular the lfcThreshold argument.
Comment: Once again a "Model matrix not full rank"
by
James W. MacDonald
65k
You already ran a temporal assay. Now you can compare each time point to the baseline. The interaction term is only applicable if you have…
Comment: Timecourse RNASeq analysis
by
Aurora
• 0
I managed to run ImpulseDE2 as I am interested in getting significant gene changes over time. Now I would like to run deseq as well and com…
Votes
Answer: CombineArrays for EPIC and EPIC V2
Answer: Too many significant genes when integrating gtex and tcga
Comment: Too many significant genes when integrating gtex and tcga
A: Print Differentially Expressed Exons From Dexseq Results
stuck on unimplemented type 'list' in 'EncodeElement'
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