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factors
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2
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RNA seq with edgeR with several factors
RNAseq
factors
20 months ago
Nathalie
▴ 20
0
votes
3
replies
1.1k
views
I have a problem when I run DESeq2 with one variable with 8 levels, I can't find the contrast for any comparison with level 8
Contrast
factors
levels
2.2 years ago
Edgar
• 0
1
vote
1
reply
1.1k
views
Optimal edgeR design for a single-factor experiment
factors
edgeR
setup
DGELIst
updated 3.6 years ago by
Gordon Smyth
52k • written 3.6 years ago by
Alex
• 0
1
vote
7
replies
1.2k
views
How to get multi-factor Deseq LRT test log P values for a particular condition
Deseq2
LRT
Factors
RNAseq
4.3 years ago
aishu.jp
▴ 30
4 results • Page
1 of 1
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Comment: Cross-validation with multiple control subgroups in limma
by
Ali Barry
▴ 40
Thanks so much for taking the time here, the insights are much appreciated. I suspected I'd have to ad hoc compare results if I did repeat …
Answer: Cross-validation with multiple control subgroups in limma
by
Gordon Smyth
52k
limma doesn't do cross-validation or resampling. Like most classical linear modeling procedures in statistics, limma uses a statistical mod…
Comment: Issues with seqlevelsStyle when making custom txdb objects for genomes/annotatio
by
Robert Castelo
★ 3.4k
Hi Hervé, thank you very much for your input into how to properly build and manage TxDb objects. gDNAx has two main inputs, one or more BAM…
Comment: Biostrings: Error writing long reads (>200 kbps) with writeQualityScaledXStringS
by
Aidan
▴ 60
Quick update: this is fixed in a branch awaiting PR to Biostrings (https://github.com/Bioconductor/Biostrings/pull/122). Should be in `deve…
Answer: Can DESeq2's design compensate for sequencing experimental design shortcomings?
by
Michael Love
43k
For statistical analysis plans, I recommend working with a local statistician or someone familiar with linear models in R. I have to reserv…
Votes
Comment: Issues with seqlevelsStyle when making custom txdb objects for genomes/annotatio
C: edgeR and lack of counts ID on CPM matrix
A: DESeq2 Following RSEM
A: importing RSEM data into DESeq2
A: Expected counts from RSEM in DESeq2
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