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batchelor
•
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0
votes
2
replies
1.2k
views
Integration of Single Cell Experiments with batchelor::fastMNN
fastMNN
SingleCellData
BatchEffect
batchelor
14 months ago
José
• 0
2
votes
2
replies
881
views
Should tSNE from biol. replicates look alike?
scRNAseq
SingleCellExperiment
batchelor
written 16 months ago by
Jose Guillen
▴ 10
0
votes
6
replies
1.5k
views
fastMNN reproducibility across machines when using Docker
batchelor
2.5 years ago
nils.eling
▴ 10
4
votes
2
replies
1.9k
views
how to do downstram analysis to cells which are subsetted after MNN batch-correction
batchelor
fastMNN
scRNAseq
3.4 years ago
Guandong Shang
▴ 40
0
votes
4
replies
3.1k
views
how to make the "reconstructed" value in intergated scRNA-seq UMAP plot more readable
scater
batchelor
scRNAseq
fastMNN
updated 3.4 years ago by
Aaron Lun
★ 29k • written 3.4 years ago by
Guandong Shang
▴ 40
1
vote
5
replies
1.9k
views
batch effect
TargetScoreData
batchelor
written 3.4 years ago by
Syed Zaheer
▴ 10
2
votes
7
replies
2.3k
views
batchelor correctExperiments() returns Error in eval(subscript, envir = eframe, enclos = eframe) : '...' used in an incorrect context
batchelor
3.5 years ago
pcantalupo
▴ 10
2
votes
2
replies
1.7k
views
Does MNN removes same average batch vector from all cells or each cell has it's own correction vector?
fastmnn
batchelor
BatchEffect
4.3 years ago
p.joshi
▴ 40
0
votes
2
replies
2.3k
views
Error coercing LowRankMatrix to dgCMatrix
BiocSingular
zellkonverter
batchelor
updated 4.9 years ago by
luke.zappia
▴ 50 • written 4.9 years ago by
jma1991
▴ 70
0
votes
2
replies
2.1k
views
Removal of cell cycle effect using batchelor::regressBatches() and proper usage of corrected UMI matrix
scRNAseq
batchelor
SingleCell
SingleCellExperiment
scran
5.1 years ago • updated 5.0 years ago
jirkanov
• 0
1
vote
1
reply
1.6k
views
Combining treatment and control batches for analysis
scRNAseq
scRNA
batchelor
BatchEffect
updated 5.1 years ago by
Aaron Lun
★ 29k • written 5.1 years ago by
Adrien
• 0
2
votes
3
replies
2.8k
views
multiBatchNorm vs. calculateSumFactors on concatenated dataset
batchelor
scran
updated 5.4 years ago by
Aaron Lun
★ 29k • written 5.4 years ago by
Angelos Armen
• 0
3
votes
3
replies
3.7k
views
Cell cycle regression for scRNA-seq data
OSCA
batchelor
cell cycle regression
updated 5.4 years ago by
Aaron Lun
★ 29k • written 5.4 years ago by
ATpoint
★ 5.0k
2
votes
6
replies
2.0k
views
Why is an averaged reference used in DESeq2 normalisation?
deseq2
scran
batchelor
updated 5.5 years ago by
Aaron Lun
★ 29k • written 5.5 years ago by
Angelos Armen
• 0
3
votes
1
reply
1.8k
views
Scaling option in fastMNN
fastmnn
scater
batchelor
updated 5.5 years ago by
Aaron Lun
★ 29k • written 5.5 years ago by
ATpoint
★ 5.0k
3
votes
6
replies
4.3k
views
Carry over variable features when converting FastMNN SCE object to Seurat object
mnn
batchelor
scrna-seq
seurat
updated 5.6 years ago by
Aaron Lun
★ 29k • written 5.6 years ago by
heir_of_isildur88
• 0
2
votes
1
reply
1.6k
views
batchelor batch correction correction runs into errors
batchelor
batch-correction
mnncorrect
fastmnn
rna-seq
updated 5.7 years ago by
Aaron Lun
★ 29k • written 6.4 years ago by
firestar
▴ 20
3
votes
3
replies
2.1k
views
MNN batch correction of pre-computed PCA
single cell
batchelor
updated 5.7 years ago by
Aaron Lun
★ 29k • written 5.7 years ago by
tahvdbrand
▴ 10
1
vote
2
replies
2.1k
views
how to integrate multiple samples from ADT-seq (CITE-seq) with fastMNN
fastMNN
CITE-seq
ADT-seq
batchelor
REAP-seq
updated 5.8 years ago by
Aaron Lun
★ 29k • written 5.8 years ago by
sorjuelal
• 0
0
votes
5
replies
3.0k
views
How to perform batch correction on scRNA-seq with confounding plate effects?
batchelor
updated 8 months ago by
瑞宏
• 0 • written 5.8 years ago by
jashmore
• 0
2
votes
2
replies
2.7k
views
Subclustering after MNN batch-correction
batchelor
mnn
scrna-seq
updated 3.4 years ago by
Guandong Shang
▴ 40 • written 6.0 years ago by
heir_of_isildur88
• 0
21 results • Page
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Answer: Limma-voom sample weights and impact on DEG numbers
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Error in SummarizedExperiment(assays = SimpleList(counts = countData)
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