Showing : ontology • reset
4
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Is there any description available for KEGG Pathway Edge Types
KEGG SystemsBiology KEGGgraph ontology
2.9 years ago Wuschel ▴ 10
1
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0
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1.4k
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adjusted p-values with topGO elim.KS method
topGO Ontology DifferentialExpression
3.0 years ago Kevin Gregory ▴ 10
1
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2
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1.1k
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gene ontologies for a set of genes
gene ontology
4.1 years ago Bogdan ▴ 670
1
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5
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2.0k
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Gene Ontology analysis
ontology edger limma ncbi organism package
updated 5.5 years ago by 53k • written 5.5 years ago by ▴ 20
3
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3
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1.7k
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Discrepancies between topGO output and input
go topGO gene ontology enrichment
updated 6.2 years ago by 68k • written 6.2 years ago by • 0
1
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1
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1.5k
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News: Gene Ontology Official Workshop - Montreal, October 16, 2018
gene ontology go ontology bioinformatics genomics News
7.0 years ago laurent.albou • 0
3
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3
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1.5k
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source of GO ontology and GO annotations in Bioconductor for GO.db
GO ontology GO.db
updated 7.0 years ago by • 0 • written 7.1 years ago by ▴ 10
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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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