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GenomicRanges
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Having Trouble Using CNE12() and CNE21() in CNEr
GenomicRanges
CNEr
22 days ago
1324087964
• 0
1
vote
4
replies
813
views
fast apply on RleList
GenomicRanges
RleList
20 days ago • updated 19 days ago
story.benjamin
▴ 20
0
votes
0
replies
195
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Significant Probes and Genes differ in Probe and Region level Differential Methylation Analyses
limma
probe
DMRcate
GenomicRanges
DifferentialMethylation
3 days ago
jamiecatalano2
• 0
0
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0
replies
50
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How to left_join a tidySummarizedExperiment with a GRanges object by seqnames and start (tidyverse-style)?
GenomicRanges
tidySummarizedExperiment
tidyomics
7 days ago
Kateřina
• 0
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Comment: Cannot extract size factor from DESeq2 analysis
by
s.malik
• 0
Dear Mike, using tximeta and following code, is this fine to extract normalized counts after `sizeFactors(dds)` gives NULL? `dds <- DESeq…
Comment: Design formula for circadian time-course data for vst() function
by
Vishnu
• 0
Thank you so much for your reply.
Comment: Analyzing TnSeq data with DESeq2
by
Tom
• 0
[Doncaster Locksmith][1] delivers trusted, efficient security services tailored to your needs. Analyzing TnSeq data with DESeq2 may uncover…
Answer: Design formula for circadian time-course data for vst() function
by
ATpoint
★ 4.8k
This was asked before: https://support.bioconductor.org/p/9148734/#9148812 Take-home message is that influence is minor, as you see your…
Comment: Filtering after DESeq
by
caroline.zanchi
• 0
... I did it. It does filter out quite a bit of genes : ``` keep <- filterByExpr(dds, group="host_treatment_generation",min.count = 10, mi…
Votes
Comment: Filtering after DESeq
A: Normalized counts from DESeq2 results in similar but not equal total read count?
A: DESeq2: Different Dispersions for different sample groups
A: Contrasts & coefficients in limma
Answer: How to formulate 2 factor nested design in DESeq2
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