Bioconductor ExpressionData

Showing : ExpressionData • reset

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358

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Transcriptomics ExpressionData DESeq2

updated 12 months ago by Michael Love 41k • written 12 months ago by Ivan • 0

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580

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GEOquery ExpressionData assay SummarizedExperiment ExpressionAtlas

updated 13 months ago by pmadrigal • 0 • written 13 months ago by Kritikaverma2707 • 0

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538

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gene ExpressionData

updated 13 months ago by James W. MacDonald 65k • written 13 months ago by sonal • 0

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1.8k

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limma R ExpressionData

updated 15 months ago by Gordon Smyth 50k • written 15 months ago by Keith • 0

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798

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ExpressionData ExpressionNormalizationWorkflow

updated 19 months ago by James W. MacDonald 65k • written 19 months ago by Upasana • 0

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541

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edgeR ExpressionData RNASeqData

2.1 years ago Mafalda • 0

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642

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ExperimentHubData ExpressionData CellDataSet RNASeqData

2.1 years ago karl.stamm ▴ 10

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822

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GeneExpression DESeq2 ExpressionData

updated 2.1 years ago by fivescarynightsgames • 0 • written 2.2 years ago by reza ▴ 10

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893

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ExpressionData

updated 2.3 years ago by Basti ▴ 780 • written 2.3 years ago by Muhammad • 0

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531

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RNASeq Gene ExpressionData

2.5 years ago AZ ▴ 30

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1.7k

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DESeq2 ExpressionData heatmaps pca

2.9 years ago Clara • 0

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1.2k

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ExpressionData ArrayExpress

updated 3.1 years ago by Gordon Smyth 50k • written 3.1 years ago by Gero • 0

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968

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DESeq2 ExpressionData GeneExpression

updated 3.3 years ago by Michael Love 41k • written 3.3 years ago by Javad_Sadeghi • 0

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1.2k

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Network StatisticalMethod WGCNA ExpressionData

3.3 years ago jol.espinoz ▴ 40

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709

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ExpressionData

updated 3.4 years ago by Michael Love 41k • written 3.4 years ago by Bine ▴ 40

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820

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ExpressionData limma ExpressionData limma

15.8 years ago Gordon Smyth 50k

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825

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ExpressionData limma ExpressionData limma

15.8 years ago Bettina Kulle Andreassen ▴ 20

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1.1k

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ExpressionData ExpressionData

16.9 years ago Kocherginsky, Masha [BSD] - HSD ▴ 10

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1.3k

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Annotation ExpressionData Annotation ExpressionData

16.9 years ago Martin Morgan 25k

19 results • Page 1 of 1

Recent ...

Replies

Comment: Why does GSEA on edgeR results for randomized samples give highly significant p- by Chris • 0

Thanks Gordon for the advice! I ran fgsea, gsva and camera(), the most significant pathways are different. For the purpose of finding pathw…

Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package) by Michael Love 41k

Check the number of bootstrapped data per chromosome compared to the original, and then you can also look at its distribution. For this it'…

Comment: DNAString: Standard checksum function? by Henrik Bengtsson ★ 2.4k

For completeness: SEGUID v2 (https://www.seguid.org/), implemented in CRAN package **[seguid](https://cran.r-project.org/package=seguid)*…

Comment: fgsea significant result by Chris • 0

Thanks ATpoint! Setting a fixed seed can reproduce the same result. However, if someone else analyze the same data with different seed, the…

Comment: SGSeq: moving toward diffex from SGSeq analysis by Sara • 0

Thank you for your response. I have another question about saving the sgvc result as a CSV file. I would appreciate your help, please. ``` …

Votes

Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-

Handling multiple differential expression comparisons

Answer: fgsea significant result

package goseq seems to be not available on the latest version of R

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