Bioconductor Multiomics

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DimensionReduction SingleCellData multiomics MachineLearning

2.4 years ago Diego's • 0

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Multiomics Proteomics Cancer Statistics Bioinformatics

2.8 years ago Andy Lynch ▴ 120

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clinical R bioinformatics multiomics oncology

3.0 years ago vincent.piras • 0

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JobPosting postdoc sequencing multiomics

4.3 years ago • updated 4.2 years ago lhd • 0

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multiomics single-cell RNA Job

5.5 years ago mahes.muniandy • 0

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curatedTCGAData MultiAssayExperiment multiomics TCGA

updated 6.1 years ago by Levi Waldron ★ 1.1k • written 6.1 years ago by svlachavas ▴ 840

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multiassayexperiment multiomics

updated 6.8 years ago by Levi Waldron ★ 1.1k • written 6.8 years ago by dberel ▴ 20

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MultiAssayExperiment curatedCRCdata multiomics TCGA

updated 6.8 years ago by Marcel Ramos 700 • written 6.8 years ago by svlachavas ▴ 840

8 results • Page 1 of 1

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Comment: Cannot extract size factor from DESeq2 analysis by s.malik • 0

Dear Mike, using tximeta and following code, is this fine to extract normalized counts after `sizeFactors(dds)` gives NULL? `dds <- DESeq…

Comment: Design formula for circadian time-course data for vst() function by Vishnu • 0

Thank you so much for your reply.

Comment: Analyzing TnSeq data with DESeq2 by Tom • 0

[Doncaster Locksmith][1] delivers trusted, efficient security services tailored to your needs. Analyzing TnSeq data with DESeq2 may uncover…

Answer: Design formula for circadian time-course data for vst() function by ATpoint ★ 4.8k

This was asked before: https://support.bioconductor.org/p/9148734/#9148812 Take-home message is that influence is minor, as you see your…

Comment: Filtering after DESeq by caroline.zanchi • 0

... I did it. It does filter out quite a bit of genes : ``` keep <- filterByExpr(dds, group="host_treatment_generation",min.count = 10, mi…

Votes

A: DESeq2::sizeFactors() function does not output the sizeFactor table.

Comment: Filtering after DESeq

A: Normalized counts from DESeq2 results in similar but not equal total read count?

A: DESeq2: Different Dispersions for different sample groups

A: Contrasts & coefficients in limma

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