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simplesinglecell
•
reset
4
votes
5
replies
2.3k
views
emptyDrops identified less non-empty cells with lower total UMI counts?
DropletUtils
scRNA-seq
emptyDrops
simplesinglecell
cell calling
updated 4.1 years ago by
Aaron Lun
★ 28k • written 5.2 years ago by
C T
▴ 140
4
votes
6
replies
1.4k
views
Feature selection across batches in simpleSingleCell when spike-ins are not available.
simpleSingleCell
updated 5.3 years ago by
Aaron Lun
★ 28k • written 5.3 years ago by
Angelos Armen
• 0
1
vote
1
reply
819
views
Feature selection across batches in simpleSingleCell "Correcting batch effects" vignette
simpleSingleCell
updated 5.3 years ago by
Aaron Lun
★ 28k • written 5.3 years ago by
Angelos Armen
• 0
5
votes
1
reply
4.9k
views
Error with DropletUtils::EmptyDrops()
DropletUtils
EmptyDrops
simpleSingleCell
updated 2.3 years ago by
Stefano Mangiola
▴ 20 • written 5.3 years ago by
shbrief
▴ 20
1
vote
5
replies
1.9k
views
Preprocessing in scran::doubletCells
scran
simpleSingleCell
updated 5.3 years ago by
Aaron Lun
★ 28k • written 5.3 years ago by
Angelos Armen
• 0
4
votes
4
replies
3.1k
views
using limma and edgeR for differential expression of Drop-seq/10xGenomics scRNA-seq data
limma
edgeR
simplesingleCell
scran
scater
updated 5.3 years ago by
Aaron Lun
★ 28k • written 5.3 years ago by
Bogdan
▴ 670
4
votes
2
replies
1.9k
views
single cell data: adding random effects for subject with multilevel experiment design
SingleCellExperiment
scran
limma
simpleSingleCell
updated 5.5 years ago by
Aaron Lun
★ 28k • written 5.5 years ago by
Matt Mulé
• 0
1
vote
3
replies
1.9k
views
Troubles with barcodeRanks()
DropletUtils
SingleCellExperiement
DelayedArray
simpleSingleCell
updated 5.5 years ago by
Aaron Lun
★ 28k • written 5.5 years ago by
Steve Pederson
▴ 170
8
votes
2
replies
2.8k
views
Recommendations for combining multiple 10x runs into one SingleCellExperiment
singlecellexperiment
dropletutils
simplesinglecell
updated 6.1 years ago by
Aaron Lun
★ 28k • written 6.1 years ago by
Peter Hickey
▴ 740
0
votes
1
reply
1.0k
views
Unusual graph for Identifying HVGs from the normalized log-expression
workflows
simplesinglecell
updated 6.2 years ago by
Aaron Lun
★ 28k • written 6.2 years ago by
es.azadian
• 0
0
votes
1
reply
1.1k
views
The explanation of plotExplanatoryVariables plot
simplesinglecell
updated 6.7 years ago by
Aaron Lun
★ 28k • written 6.7 years ago by
Xingyu
• 0
1
vote
2
replies
2.0k
views
SingleCellExperiment object cannot be used by Scater package?
scater
singlecellexperiment
simplesinglecell
updated 6.8 years ago by
Aaron Lun
★ 28k • written 6.8 years ago by
Xingyu
• 0
3
votes
2
replies
3.5k
views
Sparse matrices in Bioconductor objects for single-cell analyses
scater
simpleSingleCell
workflows
updated 7.4 years ago by
Aaron Lun
★ 28k • written 7.4 years ago by
sandmann.t
▴ 70
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Answer: UniProt.ws query loading indefinitely
by
James W. MacDonald
67k
It should be almost instantaneous. Do you have internet access on the local computer? ``` > system.time(up <- UniProt.ws()) user s…
Comment: Package needs internet access
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James W. MacDonald
67k
I am not sure what you mean by 'only used to create that genome file'. What's happening is you are converting the `seqlevels` of an existin…
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wtao7767
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https://sprunki.net/ Incredibox Sprunki is a creative mod of the classic Incredibox game, blending Sprunki's unique style with interactive …
Answer: Allele frequencies for ALL alleles of one SNP ?
by
Abiologist
• 0
I've discovered that rsnps::ncbi_snp_query(snp_id) does actually give this information - at the bottom of the result$maf_population table. …
Answer: Identifying potentially associated gene set to drug response using GSVA
by
Robert Castelo
★ 3.4k
Hi, if you want to do some formal inference about the effect of a drug at RNA level, then I would recommend you doing a differential expres…
Votes
Answer: Package needs internet access
Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela
Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela
Comment: Harmonizing Gene Annotations for Meta-Analysis of GSE68183 and GSE80178
Dotplot from enricher outputting very few genes
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