Bioconductor GeneExpression

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probe convert geneexpression onechannelgui

updated 10.2 years ago by svlachavas ▴ 840 • written 10.2 years ago by ayanava18 ▴ 10

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1.4k

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geneexpression genesetenrichment segAnglePo

10.8 years ago Peter.Wood • 0

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limma rnaseq geneexpression voom counts

updated 10.9 years ago by Steve Lianoglou ★ 13k • written 10.9 years ago by Peter Crisp ▴ 10

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deseq2 geneexpression timecourse

updated 11.0 years ago by Wolfgang Huber ★ 13k • written 11.0 years ago by nafeesa ▴ 10

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4.4k

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geneexpression wgcna rnaseq

updated 11.0 years ago by Laurent Gatto 1.6k • written 11.0 years ago by Jon Bråte ▴ 270

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GeneExpression RNASeq Genetics Coverage Normalization BSgenome Biobase Biostrings biomaRt

11.5 years ago Guest User ★ 13k

56 results • Page 2 of 2

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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

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