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How to combine VCF-class and data.frame with annotations
GO annotate convert ggbio GO annotate convert ggbio
written 13.1 years ago by ▴ 70
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visualization of interactions
ggbio ggbio
updated 13.1 years ago by ▴ 420 • written 13.1 years ago by ★ 13k
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Granges for chromosome interactions
ggbio ggbio
updated 13.1 years ago by ★ 4.2k • written 13.1 years ago by ▴ 670
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FW: Overlay Gene Expression on SNP (copy number) data
SNP Coverage Network Cancer TranscriptDb IRanges RCytoscape ggbio Gviz SNP Coverage
updated 13.4 years ago by ★ 4.2k • written 13.4 years ago by ▴ 370
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ggbio: error when updating to current release version
BiocInstaller ggbio BiocInstaller ggbio
updated 13.5 years ago by 6.7k • written 13.5 years ago by ▴ 80
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ggbio and R-2.14.0
ggbio ggbio
updated 13.7 years ago by 25k • written 13.7 years ago by ▴ 30
106 results • Page 3 of 3
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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 …
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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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