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Tutorial: [LIBD rstats club] Bioconductor overview
bioconductor libdrstats Tutorial
updated 5.5 years ago by 1.6k • written 5.5 years ago by ★ 1.1k
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Comment: deseq2 filter the low counts by Michael Love 43k
> But within each comparison (contrast), if I trace some DEGs back to the original salmon merged gene counts (or even to normalised counts)…
Comment: deseq2 filter the low counts by empty_mt • 0
Thank you for you suggestion to look at the pre-filtering section in the DESeq2 vignettes - am I missing something? I have 6 treatments, …
Comment: deseq2 filter the low counts by Michael Love 43k
Have you seen this part: https://bioconductor.org/packages/release/bioc/vignettes/DESeq2/inst/doc/DESeq2.html#pre-filtering
Comment: deseq2 filter the low counts by empty_mt • 0
Hi Michael, My matrix consists of 36 samples from 6 treatments (6 samples/ treatment), whether I adjust prefiltering parameters or not, in…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by dan.gatti • 0
That works. I didn't realize what you said about HDF5 files. We always keep those and archive the MTX files. I'm able to read in the file…
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Comment: deseq2 filter the low counts
Answer: DESeq2 interactions
Answer: Important: Bioconductor Release 3.22 Delayed
A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
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