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Incorporating factors of unwanted variation from RUVr into EdgeR cell means model for DE
edger
RUVseq
RUVr
GLM
RNAseq
4.8 years ago
garbuzov
• 0
1
vote
3
replies
2.2k
views
Does it make sense to consider RUVr normalization for single cell RNA analysis?
RUV
ruvseq
ruvr
ruvnormalize
single cell
6.7 years ago
Nik Tuzov
▴ 80
1
vote
4
replies
3.7k
views
Number of co-variables k in RUVSeq (RUVr)
rnaseq
ruvseq
RUVr
edgeR
8.3 years ago
David R
▴ 90
3 results • Page
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Answer: WGCNA: analysis of complex trait associations with regressions
by
James W. MacDonald
65k
This support site is meant to help people with questions about Bioconductor packages (WGCNA is not a Bioconductor package). You might try o…
Comment: miRTarRnaseq library
by
mercedeh.movassagh
▴ 10
Yes that is correct
Comment: What benchmark should I use for setting the EdgeR filterByExpr min.count paramet
by
Gordon Smyth
50k
It is the minimum group size rather than the total number of samples that is relevant. `min.prop` is more a biological parameter rather th…
Answer: Microarray Limma Model fitting and DEG
by
Gordon Smyth
50k
This dataset seems straightforward to analyse using the original MAS expression values on GEO. MAS expression values are known to be noisy …
Answer: Trimming a section of a scaffold from a genome
by
James W. MacDonald
65k
It's undoubtedly possible, but you don't provide enough information to go on. If I assume you are talking about an existing `BSgenome` pack…
Votes
A: Error object and replacement value dimnames differ, when changing column names o
Comment: What benchmark should I use for setting the EdgeR filterByExpr min.count paramet
Comment: What benchmark should I use for setting the EdgeR filterByExpr min.count paramet
DESeq2 normalization vs VST vs rlog
Answer: DESeq2 "Contrast" option
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