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ercc
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Incorporating RUVg results into ImpulseDE2 model
ImpulseDE2
ImpulseDE
ERCC
RUVSeq
3.1 years ago
Mallory
▴ 10
3
votes
2
replies
3.2k
views
Using the ERCC spike as a normalization factor for a custom algorithm
ERCC
rna-seq
edgeR
tmm normalised values
updated 7.7 years ago by
Aaron Lun
★ 28k • written 7.7 years ago by
what_theheck24
• 0
27
votes
7
replies
16k
views
Usability of ERCC spike-ins in standard RNAseq experiments
RNAseq
deseq2
ercc
updated 8.1 years ago by
Simon Anders
★ 3.8k • written 8.1 years ago by
mbeckste
▴ 30
16
votes
5
replies
7.9k
views
DESeq and Limma+Voom Normalization for Rna-Seq Data Using Ercc Spike-In
limma
voom
deseq
normalization
ercc
updated 9.0 years ago by
Gordon Smyth
51k • written 9.0 years ago by
komal.rathi
▴ 120
8
votes
5
replies
5.6k
views
edgeR and Normalization of RNAseq data using ERCC controls
edger
ercc
10.0 years ago
John
▴ 10
9
votes
4
replies
3.1k
views
News:
Experimental data package 'seqc'
seqc
rsubread
featurecounts
subjunc
ercc
News
10.0 years ago
Wei Shi
★ 3.6k
6 results • Page
1 of 1
Recent ...
Replies
Answer: Deseq2 res Function
by
Michael Love
43k
> Does this mean the young and KO groups were numerators and denominators in the analysis, respectively? Read over the vignette and work…
Answer: ANOVA like approach of edgeR
by
Gordon Smyth
51k
You need to clarify whether interactions are present for the two factors in your study. In the two factors do not interact, then the code y…
Answer: Create Illmina bead summary data
by
Gordon Smyth
51k
GenomeStudio produces IDAT files that you can read using the `read.idat` function in limma. That is the recommended way to read GenomeStudi…
Comment: Help with RSEM counts: do I transpose matrix?
by
NB
• 0
OK thank you.
Comment: Help with RSEM counts: do I transpose matrix?
by
James W. MacDonald
67k
You can ask here, but please read the `DESeq2` vignette first, which should answer most questions.
Votes
Answer: Deseq2 res Function
Answer: BiocNeighbours Utility for k-Nearest Neighbour Classification
Answer: ANOVA like approach of edgeR
Answer: ANOVA like approach of edgeR
Comment: ANOVA like approach of edgeR
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