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scran bluster scater scuttle

updated 8 months ago by ATpoint ★ 4.5k • written 8 months ago by Dario Strbenac ★ 1.5k

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scuttle scater

updated 14 months ago by ATpoint ★ 4.5k • written 14 months ago by Abbi Edwards • 0

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scuttle scater seurat SpatialExperiment

21 months ago cathalgking ▴ 10

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scuttle scater SpatialExperiment

updated 22 months ago by alan.ocallaghan ▴ 160 • written 22 months ago by cathalgking ▴ 10

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normalizeCounts scran librarySizeFactors scuttle scRNAseq

2.7 years ago behr201 • 0

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scater SingleCellExperiment BiocParallel scuttle scran

3.1 years ago enricoferrero ▴ 660

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scran SingleCellExperiment scuttle scater

updated 3.9 years ago by Aaron Lun ★ 28k • written 3.9 years ago by enricoferrero ▴ 660

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scran scater scuttle

updated 4.3 years ago by Aaron Lun ★ 28k • written 4.3 years ago by enricoferrero ▴ 660

8 results • Page 1 of 1

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Comment: Differene between the Wald and LRT test for time-series gene expression data by Denise • 0

This makes a lot of sense, thank you very much!

Comment: Downloading Metagenomic Data with Higher Taxonomic Units by elozanoe • 0

Hi! I'm facing the same problem. Is there any easy way to output relative abundances of higher taxonomic units (up to kingdom), similar to…

Comment: Is it recommended to analyze different tissues together when using edgeR by Gordon Smyth 51k

Just plot the samples with plotMDS(). Alternatively you would use `voomLmFit()` with `sample.weights=TRUE` or `var.group=tissue`. In princ…

Comment: Handling Epic Array Data by Melisa Tecik • 0

Thanks a lot for the help. You saved my day

Answer: Differene between the Wald and LRT test for time-series gene expression data by James W. MacDonald 67k

The advantage to using the LRT is that it's an omnibus test that tells you if there are changes at any time point. If you have lots of time…

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A: correcting the batch effects in Limma and SVA

A: Using of limma moderated t-test with "corrected" expression matrix resulting fr

Answer: Differene between the Wald and LRT test for time-series gene expression data

Answer: Using voom-transformed counts for unsupervised analyses (PCA, Random Forest, Ela

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