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motifs
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How are the MotifbreakR scores calculated, and how do they relate to one another?
MotifbreakR
R
motifs
6.4 years ago
camerond
• 0
0
votes
0
replies
1.1k
views
Plotting motif enrichment vs background - Jaspar core vertebrates
pwm
motifs
jaspar
meme
motif analysis
6.8 years ago
rbronste
▴ 60
0
votes
0
replies
1.1k
views
Visualizing motif instances in peak data
motifs
TF
peakset
plots
8.6 years ago
rbronste
▴ 60
0
votes
1
reply
1.7k
views
Heatmap of motif clusters
genomation
motifs
updated 9.1 years ago by
altuna akalin
▴ 20 • written 9.1 years ago by
sarah.blackstone7734
• 0
0
votes
0
replies
1.6k
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Repetitive motifs on Illumina 450k derived sequences
illumina
450k
motifs
meme
9.7 years ago
Gustavo Fernández Bayón
▴ 440
5 results • Page
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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 …
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
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
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
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