Showing : phenoData • reset
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Made a pDATA manually for HTqPCR procedure
HTqPCR phenoData esetVis pData
4.2 years ago Marcelo Laia ▴ 450
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ReadAffy does not take into account parameter sampleNames with phenoData object
affycoretools ReadAffy Biobase phenoData affy
updated 5.1 years ago by 68k • written 5.1 years ago by • 0
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Sample grouping (phenoData) and visualization in R package- HtqPCR
HtqPCR grouping visualization R phenoData
6.4 years ago mohammedtoufiq91 ▴ 10
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Loading FCS files
FCS flow cytometry bioconductor phenoData Loading Data
updated 9.0 years ago by ▴ 360 • written 9.0 years ago by • 0
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Comment: DESeq2 - how many surrogate variables from svaseq, use of lfcshrink by ja569116 • 0
Hi @atpoint Thanks for the information. Could you please expand on when to use adjusted p-values vs nominal p-values. My understanding was …
Answer: limpa analysis advice by Gordon Smyth 53k
It is actually very hard to estimate the DPC from observed data, because the curve is function of unobserved intensities rather than a func…
Answer: When to use edgeR or limma by Gordon Smyth 53k
The short answer is that we generally prefer edgeR for applications with lots of small counts and limma for complex designs with random eff…
Comment: limpa-blank normalization and Spectronaut's PTM stoichiometry by Gordon Smyth 53k
I updated the above answer today.
Answer: When to use edgeR or limma by James W. MacDonald 68k
I would use edgeR's quasi-likelihood model for any analysis with a smaller number of observations (like 3 vs 3 or similar), but if you have…
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Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
A: deseq2 - paired samples in 2 sequencing types with very different library sizes
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