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How to use txtimport and do differential expression
NewWave
updated 2.8 years ago by 68k • written 2.8 years ago by • 0
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error running exp2grn
NewWave
updated 2.5 years ago by ▴ 40 • written 2.6 years ago by • 0
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Error in (function (classes, fdef, mtable) : Function 'raster' tag 'logical' cannot find an inheritance method
NewWave
updated 2.2 years ago by 4.3k • written 2.2 years ago by • 0
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Statistical test
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Extracting DEG from topTags
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updated 2.7 years ago by 53k • written 2.7 years ago by • 0
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Spam: ost to pst migration software
mgu74bv2cdf NewWave hgu133a2.db
2.7 years ago roma 0
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Spam: 7z password remover tool
mgu74bv2cdf NewWave hgu133a2.db
2.7 years ago roma 0
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Adding chromosome numbers to the respective gene ids of DESeq2 output file
NewWave hgu133a2.db
updated 3 months ago by • 0 • written 2.5 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
2.5 years ago Kilian • 0
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Answer: Is it still possible to do batch correction for my data? by Gordon Smyth 53k
I agree with the comments from James MacDonald, but I will add that if you use the standard linear model correction for batch ``` design <-…
Answer: specifying refColumn in calcNormFactors() by Gordon Smyth 53k
Your question is about cross-validation rather than specifically about edgeR. A general principle of cross-validation is that you must norm…
Answer: Sex prediction in sesame for EPICV2 by Tim Peters ▴ 230
Hi Pooja, There is a tutorial for preprocessing EPICv2 via sesame here: https://clark-lab.github.io/EPICv2_tutorial/. There is no call t…
Comment: Convergence Issues and Model Selection DESeq2 by dani.guan.3 • 0
Thank you, I appreciate your time and help.
Comment: Convergence Issues and Model Selection DESeq2 by Michael Love 43k
> out of my 30,229 genes, 795 (2.6%) are better explained ... Not exactly. Frequentist statistics is not symmetric in this way. If it were…
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DiffBind dropping peaks in ATAC-seq data
A: decideTests() options in LIMMA
A: Removing cell cycle genes in large data set integration
A: Removing cell cycle genes in large data set integration
Answer: Quick two questions on limpa
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