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MNNCorrect
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[MnnCorrect] In case of known subpopulations
scran
single-cell
mnncorrect
rnaseq
6.8 years ago
Jens Preussner
▴ 30
5
votes
4
replies
2.0k
views
How to apply limma-trend or voom to batch corrected single cell data? (non-integer and negative values included)
MNNCorrect
scMerge
limma-trend
updated 3.0 years ago by
Gordon Smyth
50k • written 3.1 years ago by
hainct
• 0
4
votes
4
replies
1.8k
views
Some questions for remove batch effect by using mnnCorrect
batch effect
single cells
mnnCorrect
scran
updated 5.0 years ago by
Aaron Lun
★ 28k • written 5.0 years ago by
xingxd16
▴ 20
2
votes
2
replies
1.8k
views
[MnnCorrect] Remove batch effects but keep condition effects
single-cell
scran
mnncorrect
rnaseq
updated 5.4 years ago by
Aaron Lun
★ 28k • written 5.4 years ago by
John Reid
▴ 10
1
vote
2
replies
1.4k
views
SCRAN - Question: Error when calling cosineNorm through fastMNN
SCRAN
fastMNN
mnnCorrect
updated 5.8 years ago by
Aaron Lun
★ 28k • written 5.8 years ago by
tobi
• 0
1
vote
2
replies
2.3k
views
keep getting this error "number of rows is not the same across batches" even though my 2 matrices have the same row number
mnncorrect
batch effect
scran
updated 5.8 years ago by
Aaron Lun
★ 28k • written 5.8 years ago by
sara.nejat
• 0
2
votes
1
reply
1.0k
views
batchelor batch correction correction runs into errors
batchelor
batch-correction
mnncorrect
fastmnn
rna-seq
updated 4.1 years ago by
Aaron Lun
★ 28k • written 4.7 years ago by
rmf
▴ 20
6
votes
1
reply
3.1k
views
Downstream analysis after using mnnCorrect()
scran
mnncorrect
updated 6.2 years ago by
Aaron Lun
★ 28k • written 6.2 years ago by
Dave Tang
▴ 210
8 results • Page
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Answer: Differential gene expression analysis results
by
ATpoint
★ 4.1k
Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…
Comment: deseq2 results
by
sajadahmad41454
• 0
thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.
Comment: deseq2 results
by
swbarnes2
★ 1.4k
It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…
Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Dylan.Sheerin
• 0
Thank you very much, Gordon. I'll give voomLmFit a go!
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Gordon Smyth
50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
Votes
Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
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