Bioconductor SpatialExperiment

Showing : SpatialExperiment • reset

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749

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limma standR SpatialExperiment

11 days ago • updated 8 days ago Krista • 0

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101

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standR SpatialExperiment

11 days ago Krista • 0

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932

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SpatialExperiment SingleCellExperiment SpatialFeatureExperiment

updated 14 months ago by Stefano Mangiola ▴ 40 • written 15 months ago by sarah.williams • 0

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570

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SpatialExperiment SingleCellExperiment

18 months ago Ibrahim • 0

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784

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seqFISH SpatialExperiment

21 months ago • updated 20 months ago Matthew Thornton ▴ 390

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1.2k

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JobPosting CuratedAtlasQueryR MoleculeExperiment SingleCellExperiment SpatialExperiment

22 months ago Stefano Mangiola ▴ 40

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748

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tidySpatialExperiment SpatialExperiment MoleculeExperiment

2.0 years ago info ▴ 10

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1.2k

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Proteomics JobPosting SingleCell Spatial SpatialExperiment

2.1 years ago Peter Hickey ▴ 760

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1.4k

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SpatialExperiment JobPosting

2.9 years ago Peter Hickey ▴ 760

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3.3k

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scuttle scater seurat SpatialExperiment

3.2 years ago cathalgking ▴ 10

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1.5k

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scuttle scater SpatialExperiment

updated 3.2 years ago by alan.ocallaghan ▴ 160 • written 3.3 years ago by cathalgking ▴ 10

11 results • Page 1 of 1

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Answer: How to use EnrichGo of Cluster Profiler by Carol • 0

thanks for help!

Comment: Bay area Biotech-Pharma Statistics Workshop, with free R user meetup (Nov 6-8) by Ilvas • 0

The Bay Area Biotech Pharma Statistics Workshop is a two day conference dedicated to advancing the practice and impact of statistics within…

Comment: Limma-voom sample weights and impact on DEG numbers by Salvex • 0

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Comment: Choosing between voomLmFit() and DREAM() when they identify very different sets by Emmanuel • 0

Thanks so much for your reply! I'm glad the flat region is not an issue. I will think carefully about the impact of other potential batch …

Comment: Choosing between voomLmFit() and DREAM() when they identify very different sets by Gordon Smyth 53k

The "flat region" is not a concern. You do not need more filtering. voomLmFit() is very robust to filtering. The increasing spread strongl…

Votes

A: WGCNA automatic vs manual network creation

C: Steep dendrograms and few modules. WGCNA on RNA seq data

Comment: Choosing between voomLmFit() and DREAM() when they identify very different sets

Answer: Choosing between voomLmFit() and DREAM() when they identify very different sets

Answer: Using duplicateCorrelation with limma/voom for spatial transcriptomics data

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