Showing : attract • reset
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use of voom function with attract package
Pathways GO attract Pathways GO attract
updated 11.5 years ago by 53k • written 11.5 years ago by ★ 13k
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attract SynExprs error
attract attract
13.0 years ago Guest User ★ 13k
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PhD Studentship: Spatiotemporal Organisation of Gene Expression
genomes attract genomes attract
20.2 years ago Jan T. Kim ▴ 70
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Metrology for Gene Expression -- Postdoc Opportunities at NIST
Microarray PROcess GLAD attract Microarray PROcess GLAD attract
20.8 years ago Marc Salit ▴ 80
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Re: vignett
attract attract
23.5 years ago Vincent J. Carey, Jr. 6.7k
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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 …
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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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