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Statistical test
NewWave
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Error in (function (classes, fdef, mtable) : Function 'raster' tag 'logical' cannot find an inheritance method
NewWave
updated 2.1 years ago by 4.3k • written 2.1 years ago by • 0
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error running exp2grn
NewWave
updated 2.3 years ago by ▴ 40 • written 2.4 years ago by • 0
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featureCounts error Assertion failed: (NULL == pairer -> bam_margin_table -> appendix2), function SAM_pairer_finish_margin_table, file input-files.c,…
NewWave
2.3 years ago Kilian • 0
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Adding chromosome numbers to the respective gene ids of DESeq2 output file
NewWave hgu133a2.db
updated 8 weeks ago by • 0 • written 2.3 years ago by • 0
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Spam: 7z password remover tool
mgu74bv2cdf NewWave hgu133a2.db
2.5 years ago roma 0
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Spam: ost to pst migration software
mgu74bv2cdf NewWave hgu133a2.db
2.5 years ago roma 0
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1.4k
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Extracting DEG from topTags
NewWave
updated 2.6 years ago by 53k • written 2.6 years ago by • 0
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How to use txtimport and do differential expression
NewWave
updated 2.6 years ago by 68k • written 2.6 years ago by • 0
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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…
Answer: limpa-blank normalization and Spectronaut's PTM stoichiometry by Gordon Smyth 53k
The short answer is that limpa reads standard feature-level intensities from Spectronaut or other quantifications tools. limpa is designed …
Comment: Question about the filterByExpr function inputs in edgeR by mohammedtoufiq91 ▴ 10
@gordonsmyth Noted, thank you very much.
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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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