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cellmix
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Extracting results from a DSA fit to expression data with only a gene markers list
cellmix
7.9 years ago
nrubinstein
• 0
3
votes
3
replies
2.2k
views
Error running CellMix SampleAnalysis vignette
software error
cellmix
vignette
expressionset
8.7 years ago
gabor.halasz
• 0
1
vote
1
reply
2.2k
views
CellMix compare results to CellCODE
cellmix
cellcode
updated 9.4 years ago by
Steve Lianoglou
★ 13k • written 9.4 years ago by
christopher.clarskon15
▴ 20
0
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1.1k
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Coefmap plot without the sorting
coefmap
cellmix
9.7 years ago
thrabe
• 0
0
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0
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1.2k
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basismarkermap scaling fails for large data
Cellmix
9.7 years ago
thrabe
• 0
0
votes
1
reply
1.1k
views
Access MarkerList attribute
cellmix
9.7 years ago
thrabe
• 0
0
votes
0
replies
1.9k
views
CellMix - Custom matrix with Abbas signature
deconvolution
cellmix
10.3 years ago
carleshf
▴ 10
7 results • Page
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Comment: Sharing a collection of datasets in ExperimentHub
by
Peter Hickey
▴ 760
The [**scRNAseq**](https://bioconductor.org/packages/scRNAseq/) package ([source on GitHub](https://github.com/LTLA/scRNAseq)) might serve …
Answer: EuroBioC2023 abstract submission is open!
by
efuite222
• 0
Abstract submissions are now open for the #EuroBioC2023 conference in Ghent, Belgium, from September 20-22; submit by April 14 for opportu…
Comment: Using DESeq2 on single cell RNA Seq data of same cell type but different conditi
by
ReinholdGaylord99
• 0
Thank you so much! https://www.nature.com/articles/s41467-021-25960-2/ [geometry dash lite](https://geometrydashlite.online)
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
by
Gordon Smyth
53k
I'm not sure that I understand. You have a dataset that, even after pseudo-bulking, still has 6000 samples? That is surprising. Retaining …
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
by
abaed
• 0
Hello again @gordonsmyth, I've now applied the analysis using a more detailed annotation of cell types/clusters, which includes about 100 …
Votes
Comment: readDNAStringSet with non DNA characters
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
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