Showing : Gene Ontology • reset
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1.2k
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mouse4302.db mapping discrepancies between as.list() and select()
r mouse4302 gene ontology
9.9 years ago mark614 • 0
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1.4k
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read tree fails for large trees
RamiGO R gene ontology igraph
9.9 years ago bkellman • 0
2
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12
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3.7k
views
I want to order genes in GO groups
gene ontology genefilter
updated 10.3 years ago by ▴ 370 • written 10.4 years ago by ▴ 10
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9
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3.7k
views
expired SQLiteConnection in GoSemSim package.
gene ontology GOSemsim
updated 10.5 years ago by ▴ 10 • written 10.8 years ago by • 0
0
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4
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2.6k
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GOterm semantic similarity with non-reference organism
gosemsim go gene ontology
10.7 years ago cpcantalapiedra • 0
2
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2
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2.7k
views
GO offspring consistency
annotation GO graph gene ontology
updated 11.1 years ago by 1.6k • written 11.1 years ago by • 0
3
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4
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2.0k
views
Annotation Extension for GO terms
gene ontology rols
updated 11.3 years ago by ★ 7.2k • written 11.3 years ago by ▴ 90
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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 …
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It is actually very hard to estimate the DPC from observed data, because the curve is function of unobserved intensities rather than a func…
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The short answer is that we generally prefer edgeR for applications with lots of small counts and limma for complex designs with random eff…
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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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