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Incorporating RUVg results into ImpulseDE2 model
ImpulseDE2
ImpulseDE
ERCC
RUVSeq
3.3 years ago • updated 3.2 years ago
Mallory
▴ 10
3
votes
2
replies
3.4k
views
Using the ERCC spike as a normalization factor for a custom algorithm
ERCC
rna-seq
edgeR
tmm normalised values
updated 7.9 years ago by
Aaron Lun
★ 28k • written 7.9 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 8.2 years ago by
Simon Anders
★ 3.8k • written 8.2 years ago by
mbeckste
▴ 30
16
votes
5
replies
8.0k
views
DESeq and Limma+Voom Normalization for Rna-Seq Data Using Ercc Spike-In
limma
voom
deseq
normalization
ercc
updated 9.2 years ago by
Gordon Smyth
52k • written 9.2 years ago by
komal.rathi
▴ 120
8
votes
5
replies
5.7k
views
edgeR and Normalization of RNAseq data using ERCC controls
edger
ercc
10.1 years ago
John
▴ 10
9
votes
4
replies
3.1k
views
News:
Experimental data package 'seqc'
seqc
rsubread
featurecounts
subjunc
ercc
News
10.2 years ago
Wei Shi
★ 3.6k
6 results • Page
1 of 1
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Replies
Comment: Differential variability modelling with vst() expression
by
convincing.shark.jqvy
• 0
Your approach to differential variability modeling using vst() looks promising! It mirrors the challenge of mastering levels in [Geometry D…
Answer: DESeq2 Heatmap
by
James W. MacDonald
67k
Two things. First, `scale` is already vectorized, so you don't have to use `apply`. You can instead just do `t(scale(t(mat)))` . Second, th…
Answer: Improve performance of qusage aggregateGeneSet
by
James W. MacDonald
67k
This support site is meant mostly to help people with questions about using Bioconductor packages rather than posting code improvements. I …
Answer: promoters_txdb <- promoters(txdb, upstream = 2000) is not 2000
by
James W. MacDonald
67k
If you use `promoters` and do not provide an argument for something that has a default, you will get the default argument. Your last call t…
Comment: org.Hs.eg.db issue
by
k.panov
• 0
installed R on another PC, works perfectly. ergo, problem outside of R probably..... :-(
Votes
Comment: DESeq2 for single cell pseudobulk processing
C: Limma: how to get same output as topTable but for all the genes ?
A: Processing agilent data by limma
A: Linear regression in DESeq2
Answer: Is there any chance to solve "the model matrix is not full rank" in DESeq2?
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