Bioconductor Corrected expression matrix

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RUVnormalize limma corrected expression matrix microarray

updated 7.3 years ago by Dario Strbenac ★ 1.6k • written 7.3 years ago by massimo.acquaviva.78 • 0

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Answer: Analyzing TnSeq data with DESeq2 by cold.wolverine.arku • 0

That's a great use case of DESeq2! Even though it's not specifically tailored for TnSeq data, your approach to normalize and run explorator…

Comment: RNA Seq using Lrt by Rob • 0

So if I have understood what you have said : If i want to see if Day (time) has an effect / is being tested - then the reduced model should…

Comment: How to convert transcript counts to gene counts in R? by ben • 0

Simply summing transcripts by gene is sufficient for use with DESeq2. [sprunki clicker][1] [1]: https://sprunkiclicker.com/

Answer: EuroBioC2024 abstract submission is open! by Ali • 0

[Promo products][1] are a smart way to boost visibility, especially with exciting updates like *News: EuroBioC2024 abstract submission is o…

Answer: ROAST for small sets by Gordon Smyth 52k

The p-values from `mroast` will be the same (up to sampling variability associated with random rotations) regardless of whether you test al…

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A: Understanding contrasts limma

Answer: ROAST for small sets

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Popular Question to richardallenfriedmanbrooklyn ▴ 30

Scholar to Gordon Smyth 52k