Bioconductor Lfc

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2.2k

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deseq2 LFC LRT

written 6.9 years ago by sally.badawi • 0

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1.3k

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GLM prior DESeq LFC

updated 3.5 years ago by Michael Love 43k • written 3.5 years ago by stew • 0

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1.7k

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RNAseq LFC DEseq

4.6 years ago ayy2110 • 0

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2.5k

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deseq2 lfc betaprior

updated 3.1 years ago by Michael Love 43k • written 7.1 years ago by Mariaxi • 0

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16k

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deseq2 lfc coef contrast

updated 8.4 years ago by Michael Love 43k • written 8.4 years ago by Anke Busch ▴ 10

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3.6k

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limma microarray DEGs p values lfc

8.5 years ago rkp • 0

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22k

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deseq2 deseq lfc lfcse standard error

updated 8.7 years ago by rraadd_8 • 0 • written 8.8 years ago by tootiki • 0

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3.0k

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microarray limma multiple treatments lfc

updated 9.6 years ago by Aaron Lun ★ 29k • written 9.6 years ago by brionyk9 • 0

8 results • Page 1 of 1

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Comment: nice 3D displays for PCA analysis by adam80haynes • 0

That's a fascinating application of 3D printing in a scientific context. Using this technology to create custom lab equipment, models of mo…

Comment: Bioinformatician at the Lausanne University Hospital by TikTsokaasocissalpc • 0

The Random Word Generator in Italian is a useful tool for generating ideas and exploring new approaches, much like the innovative research …

Comment: DECIPHER DesignProbes unable to design FISH-probes by TikTsokaasocissalpc • 0

If you want to share your research progress and microbiome discoveries with colleagues or friends, [snaptroid android][1] download free mak…

Answer: Limma-voom sample weights and impact on DEG numbers by Gordon Smyth 53k

I recommend that you always use voomLmFit() instead of the earlier voom() or voomWithQualityWeights() functions. Personally, I would use sa…

Answer: wgcna module preseravtion taking too long? by ATpoint ★ 5.0k

WGCNA is not a Bioconductor package, you won't get an answer here. Consider biostars.org or the r/bioinformatics reddit. Note that 10 sampl…

Votes

Limma-voom sample weights and impact on DEG numbers

C: DESeq2 Following RSEM

Upcoming Ensembl API and data access changes - new blog post available

Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?

Answer: Large logFC but somewhat high FDR

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