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ruv
•
reset
1
vote
2
replies
1.3k
views
RUV4 for microarrays
RUV4
RUV
Microarray
3.0 years ago
Antonio
• 0
5
votes
6
replies
1.6k
views
RUVseq to remove a library size artefact in a zebrafish brain RNA-seq dataset
RUVSeq
RUV
RNA-seq
updated 3.6 years ago by
James W. MacDonald
65k • written 3.6 years ago by
karissa.barthelson
▴ 20
0
votes
3
replies
961
views
Highly variable gene analysis including RUVs batch correction
deseq2
RUV
batch
highly variable genes
updated 4.2 years ago by
tmms
• 0 • written 4.2 years ago by
f_pardow
• 0
0
votes
1
reply
1.2k
views
Using RUVs on Deseq2 but clustering still seems wrong
deseq2
ruv
batch
updated 4.6 years ago by
Michael Love
41k • written 4.6 years ago by
r.tom
• 0
0
votes
1
reply
1.6k
views
Application of RUV to a small Nanostring dataset
RUV
Nanostring
RUV-III
updated 4.0 years ago by
hermidalc
▴ 20 • written 4.7 years ago by
raf4
▴ 20
0
votes
0
replies
911
views
missMethyl EPIC manifest update
missmethyl
epic
illuminahumanmethylationepicanno.ilm10b4.hg19.
ruv
5.7 years ago
peter.fransquet
• 0
0
votes
0
replies
896
views
which value from ruvadj in missMethyl can present methylation status
methylation
missmethyl
RUV
batch effect
6.0 years ago
RC
• 0
0
votes
0
replies
912
views
MissMethyl: Sample size and control probes
missmethyl
RUV
control probes
6.0 years ago
Taub, Margaret
▴ 10
2
votes
9
replies
2.5k
views
Zero inflation in RUV normalization and DE for single cell data
ruv
ruvseq
ruvnormalize
single-cell
zero-inflated
updated 6.7 years ago by
davide risso
▴ 950 • written 6.7 years ago by
Nik Tuzov
▴ 80
1
vote
3
replies
2.3k
views
Does it make sense to consider RUVr normalization for single cell RNA analysis?
RUV
ruvseq
ruvr
ruvnormalize
single cell
6.8 years ago
Nik Tuzov
▴ 80
0
votes
0
replies
919
views
Differential expressed genes between different samples in RUVseq
rnaseq
ruv
differential gene expression
R
6.9 years ago
manish20072013
• 0
3
votes
4
replies
3.2k
views
Single cells batch effects
RUV
single cell
batch effect
7.1 years ago
ribioinfo
▴ 100
0
votes
0
replies
991
views
Has anyone used the RUV package for Microbiome data?
ruv
7.2 years ago
sasha
• 0
0
votes
1
reply
2.3k
views
Can FPKM or TPM values be used as RUVs input ?
ruvseq
ruvg
ruv
updated 7.3 years ago by
davide risso
▴ 950 • written 7.4 years ago by
weiwsmiling
• 0
0
votes
0
replies
1.1k
views
Bach effect and PEER/RUV correction on large population
methylation
gene expression
sva
batch effect
ruv
7.4 years ago
carleshf
▴ 10
2
votes
1
reply
1.5k
views
RUVSeq empirical negative controls? how many to take to find the span set
ruvseq
RUV
ruvnormalize
ruvg
7.8 years ago
anthonycolombo60
• 0
0
votes
5
replies
2.2k
views
RUVseq for microRNAs
ruvseq
ruv
microrna
8.8 years ago • updated 8.7 years ago
sergio.espeso-gil
• 0
0
votes
1
reply
1.6k
views
normalised data after RUV2( )
ruv
microarray
updated 8.8 years ago by
gthm
▴ 30 • written 9.0 years ago by
Pauly Lin
▴ 150
3
votes
2
replies
2.6k
views
Normalisation before RUVg and RUV2?
ruvseq
ruv
updated 9.0 years ago by
davide risso
▴ 950 • written 9.0 years ago by
Pauly Lin
▴ 150
1
vote
9
replies
2.6k
views
RUV: removing unwanted variation in RNA-seq
RUV
ruvseq
rnaseq
9.0 years ago
sergio.espeso-gil
• 0
20 results • Page
1 of 1
Recent ...
Replies
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Intent to delete when going home. Sorry for that!
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Gordon Smyth
50k
Please ask you own question. Inserting your own dataset into someone else's question like this is very impolite. I have already answered m…
Comment: package goseq seems to be not available on the latest version of R
by
Gordon Smyth
50k
limma most certainly is available. It installs in R 4.4.0 and Bioc 3.19 for all platforms without any issues. It has not had any period of …
Comment: package goseq seems to be not available on the latest version of R
by
Patrycja
▴ 20
limma package also isn't available.Is there any information when these packages will be available?
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Thanks Gordon for the advice!
Votes
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Handling multiple differential expression comparisons
Answer: fgsea significant result
Answer: fgsea significant result
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