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profileplyr
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Diffbind Analysis gives error during profile plotting stage. Error in value[[3L]](cond) : profileplyr error: Error: BiocParallel errors 1 remote…
chipseq
profileplyr
DiffBind
4 months ago
Muhammad
• 0
1
vote
3
replies
863
views
Create merged ChIP heatmap across conditions
DiffBind
profileplyr
updated 14 months ago by
Rory Stark
★ 5.2k • written 14 months ago by
jesswhitts
• 0
2
votes
3
replies
2.3k
views
An error using Diffbind plotprofile
ChIPSeq
profileplyr
DiffBind
updated 4.1 years ago by
doug.barrows
▴ 20 • written 4.2 years ago by
zhuyi05
• 0
2
votes
5
replies
5.5k
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News:
New in DiffBind 3.2: dba.plotProfile() - Peak profiles and profile heatmaps
profileplyr
ATACSeq
DiffBind
ComplexHeatmap
ChIPSeq
updated 2.8 years ago by
Junsik
• 0 • written 4.4 years ago by
Rory Stark
★ 5.2k
1
vote
2
replies
1.2k
views
profileplyr: how to access and replace data from a profileplyr object
profileplyr
4.6 years ago
alexandre.blais
▴ 50
5 results • Page
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Comment: Error Loading Experiment from SimBenchData Package
by
ATpoint
★ 4.9k
Is the Seurat package installed? The error somewhat suggests that it could be related, and at https://www.bioconductor.org/packages/release…
Answer: Help with defining groups
by
Gordon Smyth
53k
Defining sample groups is separate to reading in the DIA-NN data, because the sample conditions and covariates are not necessarily coded in…
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 …
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 …
Votes
Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce
Answer: ordinary t from limma [was: How would I normally compare swirl?]
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
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