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Convert HGVS Representation back to Reference Genome Coordinates
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updated 15 months ago by 1.6k • written 15 months ago by • 0
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16 months ago Andreas.Herbst • 0
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16 months ago Jane_Huang • 0
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16 months ago Cinque • 0
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Inconsistent result in edgeR
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16 months ago hiroko.ohmiya • 0
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16 months ago ronin • 0
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When doing differential methylation using the sesame package, seems to only go one way
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How to use removeBatchEffect for removing effect of multiple confounding variables
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16 months ago Lluís Revilla Sancho ▴ 760
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16 months ago zr • 0
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updated 16 months ago by 43k • written 16 months ago by • 0
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16 months ago kf • 0
2
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Question: How to Set Up Contrasts for Case-Control Analysis in Limma While Adjusting for Covariates?
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updated 16 months ago by 68k • written 16 months ago by ▴ 20
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clusterProfiler: BgRatio N value does not match the size of the gene universe that has GO annotations.
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16 months ago Ragnhild • 0
0
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0
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16 months ago info ▴ 10
46,726 results • Page 16 of 935
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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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