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simplesinglecell
•
reset
4
votes
5
replies
2.4k
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emptyDrops identified less non-empty cells with lower total UMI counts?
DropletUtils
scRNA-seq
emptyDrops
simplesinglecell
cell calling
updated 4.3 years ago by
Aaron Lun
★ 28k • written 5.4 years ago by
C T
▴ 140
4
votes
6
replies
1.5k
views
Feature selection across batches in simpleSingleCell when spike-ins are not available.
simpleSingleCell
updated 5.5 years ago by
Aaron Lun
★ 28k • written 5.5 years ago by
Angelos Armen
• 0
1
vote
1
reply
858
views
Feature selection across batches in simpleSingleCell "Correcting batch effects" vignette
simpleSingleCell
updated 5.5 years ago by
Aaron Lun
★ 28k • written 5.5 years ago by
Angelos Armen
• 0
5
votes
1
reply
5.1k
views
Error with DropletUtils::EmptyDrops()
DropletUtils
EmptyDrops
simpleSingleCell
updated 2.5 years ago by
Stefano Mangiola
▴ 20 • written 5.5 years ago by
shbrief
▴ 20
1
vote
5
replies
2.0k
views
Preprocessing in scran::doubletCells
scran
simpleSingleCell
updated 5.5 years ago by
Aaron Lun
★ 28k • written 5.5 years ago by
Angelos Armen
• 0
4
votes
4
replies
3.2k
views
using limma and edgeR for differential expression of Drop-seq/10xGenomics scRNA-seq data
limma
edgeR
simplesingleCell
scran
scater
updated 5.5 years ago by
Aaron Lun
★ 28k • written 5.6 years ago by
Bogdan
▴ 670
4
votes
2
replies
2.0k
views
single cell data: adding random effects for subject with multilevel experiment design
SingleCellExperiment
scran
limma
simpleSingleCell
updated 5.7 years ago by
Aaron Lun
★ 28k • written 5.7 years ago by
Matt Mulé
• 0
1
vote
3
replies
1.9k
views
Troubles with barcodeRanks()
DropletUtils
SingleCellExperiement
DelayedArray
simpleSingleCell
updated 5.7 years ago by
Aaron Lun
★ 28k • written 5.7 years ago by
Steve Pederson
▴ 170
8
votes
2
replies
3.0k
views
Recommendations for combining multiple 10x runs into one SingleCellExperiment
singlecellexperiment
dropletutils
simplesinglecell
updated 6.3 years ago by
Aaron Lun
★ 28k • written 6.3 years ago by
Peter Hickey
▴ 750
0
votes
1
reply
1.1k
views
Unusual graph for Identifying HVGs from the normalized log-expression
workflows
simplesinglecell
updated 6.4 years ago by
Aaron Lun
★ 28k • written 6.4 years ago by
es.azadian
• 0
0
votes
1
reply
1.1k
views
The explanation of plotExplanatoryVariables plot
simplesinglecell
updated 6.9 years ago by
Aaron Lun
★ 28k • written 6.9 years ago by
Xingyu
• 0
1
vote
2
replies
2.1k
views
SingleCellExperiment object cannot be used by Scater package?
scater
singlecellexperiment
simplesinglecell
updated 7.0 years ago by
Aaron Lun
★ 28k • written 7.0 years ago by
Xingyu
• 0
3
votes
2
replies
3.7k
views
Sparse matrices in Bioconductor objects for single-cell analyses
scater
simpleSingleCell
workflows
updated 7.6 years ago by
Aaron Lun
★ 28k • written 7.6 years ago by
sandmann.t
▴ 70
13 results • Page
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Recent ...
Replies
Comment: Issue with assigning transcript IDs to reads when using summarizeOverlaps(mode =
by
SofieK
• 0
Thank you, I will try this and see.
Comment: DiffBind - question on the use of filtered or unfiltered input data
by
deltaexploitss
• 0
Data input is the adding of data into a computer. This can take place through an input device such as a keyboard. A user inputs data, which…
Comment: GenomeInfoDbData cannot install in R and warning had non-zero exit status
by
Renuka
• 0
how you did it pls explain
Answer: Issue with assigning transcript IDs to reads when using summarizeOverlaps(mode =
by
James W. MacDonald
68k
If I understand correctly, you want to assess differential transcript abundances. If so, there are a couple of ways you can do that. One wa…
Answer: Meffil: error in functional normalization function (Error in rg.to.mu(rg, probes
by
a.alkema
• 0
Oh, that's silly - thanks, will do!
Votes
Answer: What benchmark should I use for setting the EdgeR filterByExpr min.count paramet
What benchmark should I use for setting the EdgeR filterByExpr min.count parameter?
Answer: Issue with assigning transcript IDs to reads when using summarizeOverlaps(mode =
Comment: Unused arguments error without used arguments in GSVA?
Answer: Reducing and aggregating GRanges with gaps using plyranges
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