Showing : ontology • reset
4
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Is there any description available for KEGG Pathway Edge Types
KEGG SystemsBiology KEGGgraph ontology
3.0 years ago Wuschel ▴ 10
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1.4k
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adjusted p-values with topGO elim.KS method
topGO Ontology DifferentialExpression
3.1 years ago Kevin Gregory ▴ 10
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2
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1.1k
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gene ontologies for a set of genes
gene ontology
4.2 years ago Bogdan ▴ 670
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5
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Gene Ontology analysis
ontology edger limma ncbi organism package
updated 5.6 years ago by 53k • written 5.6 years ago by ▴ 20
3
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3
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1.8k
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Discrepancies between topGO output and input
go topGO gene ontology enrichment
updated 6.3 years ago by 68k • written 6.3 years ago by • 0
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
7.1 years ago laurent.albou • 0
3
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source of GO ontology and GO annotations in Bioconductor for GO.db
GO ontology GO.db
updated 7.1 years ago by • 0 • written 7.1 years ago by ▴ 10
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Answer: Using DESeq2 for age prediction by ATpoint ★ 5.0k
The package has no such inbuilt function but you are free to use the vst (or any normalized) counts to train a regression model or classifi…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by dan.gatti • 0
Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
Comment: DESeq2 for candidate gene analysis by piffelpaff ▴ 20
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis by Michael Love 43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
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A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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