Bioconductor RUVNormalize

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edger ruvseq rnaseq normalization ruvnormalize

updated 6.8 years ago by davide risso ▴ 950 • written 6.8 years ago by manish20072013 • 0

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1.2k

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RUVNormalize Subsetting

updated 8.8 years ago by laurent.jacob ▴ 10 • written 8.9 years ago by Dario Strbenac ★ 1.5k

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ruv ruvseq ruvnormalize single-cell zero-inflated

updated 6.7 years ago by davide risso ▴ 950 • written 6.7 years ago by Nik Tuzov ▴ 80

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1.4k

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normalization ruvseq ruvnormalize ruvs eda

8.0 years ago thomas.wolfe • 0

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ruvseq RUV ruvnormalize ruvg

7.8 years ago anthonycolombo60 • 0

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RUV ruvseq ruvr ruvnormalize single cell

6.7 years ago Nik Tuzov ▴ 80

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ruvnormalize microarray normalization

updated 8.8 years ago by laurent.jacob ▴ 10 • written 8.9 years ago by Cornwell, Adam ▴ 110

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830

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DESeq2 NanoStringNCTools RUVnormalize RUVSeq DifferentialExpression

12 months ago AZ ▴ 30

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996

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RUVnormalize limma corrected expression matrix microarray

updated 6.3 years ago by Dario Strbenac ★ 1.5k • written 6.3 years ago by massimo.acquaviva.78 • 0

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615

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RUVnormalize protein mi

5.5 years ago losik • 0

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RUVnormalize R edgeR RUVSeq RUVnormalizeData

22 months ago Mohamed ▴ 30

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rnaseq ruvnormalize normalization technical replicates

8.4 years ago thomas.wolfe • 0

12 results • Page 1 of 1

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Comment: How to retrieve gene ontology GO class from gene list? by bandconductor • 0

Thanks, this is potentially a much faster way than parsing BiomRt. However, it is only returning one GO term right now (biomaRt returns a f…

Comment: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2 by James W. MacDonald 65k

Both `RUVseq` and `sva` are meant to be used to remove technical variability. The problem is the identification of variability that is tech…

Comment: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2 by Alexandre • 0

Hello James, Thank you very much for your answer and taking the time to read my post. I understand your remark, but isn't the approach o…

Comment: PCA plot suggestions by JKim • 0

cross post: https://www.biostars.org/p/9593486/

Answer: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2 by James W. MacDonald 65k

You cannot correct for technical variability due to batch if samples are nested in batch. The technical and biological differences are comp…

Votes

Answer: Batch/method effect correction on a cohort of patients with RUVseq and DESeq2

Answer: Use of negative binomial model for exponential decay rate estimation using DESeq

C: null model and DEXSeqDataSet object in DEXSEQ

A: Are published RNA seq data analyses often wrong in calculating p-values and FDR?

A: How to explain how DESeq2 works to someone with zero bioinformatics background?

Awards • All

Scholar to James W. MacDonald 65k

Supporter to JKim • 0