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ruvseq sleuth

updated 7.6 years ago by davide risso ▴ 980 • written 7.7 years ago by Brian Gudenas • 0

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sleuth R salmon rna seq salmon

7.8 years ago Walter F. Baumann ▴ 10

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deseq2 negative binomial model robust regression sleuth

updated 8.2 years ago by Michael Love 43k • written 8.2 years ago by stoyo_karamihalev • 0

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pathview gage rna-seq R sleuth

8.7 years ago bioinf ▴ 10

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Comment: ROAST compare results with complex design by Gordon Smyth 52k

It's also worth pointing out that the syntax for `camera` and `mroast` is the same, so I wonder how OP did the earlier `camera` analysis.

Answer: ROAST compare results with complex design by James W. MacDonald 68k

You are specifying that the last column of your design should be used as the contrast. You should instead use `contrast[,1]`, which will us…

Comment: How to account for solvent controls in DESeq2 when comparing follicular vs lutea by James W. MacDonald 68k

Yes. You can infer that by figuring out what each coefficient measures. Here is your design matrix: ``` > targets ID Name phase G…

Comment: How to account for solvent controls in DESeq2 when comparing follicular vs lutea by snijesh ▴ 200

I would like to clarify whether the command `res <- results(dds, name = "phaseLP.conditionTreated")` is the correct approach to generate …

Comment: How to account for solvent controls in DESeq2 when comparing follicular vs lutea by James W. MacDonald 68k

Not sure I understand. You ask how to do something and then show how one would do so.

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Answer: ROAST compare results with complex design

How to account for solvent controls in DESeq2 when comparing follicular vs luteal phase?

Answer: How to account for solvent controls in DESeq2 when comparing follicular vs lutea

Comment: Using DESeq2 on single cell RNA Seq data of same cell type but different conditi

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