Biostar TimeSeriesExperiment

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229

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TimeSeriesExperiment RNASeq design DESeq2

updated 5 months ago by Michael Love 36k • written 5 months ago by Kesava • 0

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193

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TimeSeriesExperiment Regression top limma

updated 8 months ago by James W. MacDonald 59k • written 8 months ago by Eleni • 0

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408

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LRT Design DESeq2 doseResponse TimeSeriesExperiment

updated 9 months ago by Michael Love 36k • written 9 months ago by Mari • 0

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297

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TimeSeriesExperiment

updated 12 months ago by Michael Love 36k • written 12 months ago by curiousmind007 • 0

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267

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QTL fourier TimeSeriesExperiment timecoursedata

13 months ago Daphne • 0

5 results • Page 1 of 1

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Comment: Quantile Normalization after rma or not? by Yang Shi • 0

Thanks you so much sir! But I'm still confused with the boxplot showing here. Why oligo::rma could not get the plot like limma::normalizeBe…

Answer: how to understand cpm=1 and how filterByExpr works? by gowthamee • 0

I found the following two articles very helpful in explaining the functions "cpm" and "filterByExpr" Article#1: From reads to genes to pat…

Comment: different results in DESeq2 when comparing groups in two ways by zohreh.fazelan • 0

Thank you for your response. But I have few comparisons in which there are more significantly expressed genes in the socond way compared to…

Comment: lmFit, continuous exposure, adjustment covariates by Gordon Smyth 45k

Your code `t(dat[43:ncol(dat)]` is not even syntactically correct. It could not possibly run in R. You need to create an expression matrix…

Comment: Handling of missing values in limma by Gordon Smyth 45k

limma uses all the observations. There's nothing complicated about it. limma does not remove any persons from the analysis. I did not tel…

Votes

A: redundant probe sets in Affymetrix HG-U219

Answer: Quantile Normalization after rma or not?

Answer: Using featureCounts and downloading Rsubread

Awards • All

Scholar to James W. MacDonald 59k