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Sample quality weights for RNA-seq
DESeq2
limma
weight
4.0 years ago
Naomi Altman
★ 6.0k
8
votes
6
replies
1.5k
views
Limma weights, non-specific interactions
limma
nonspecific filtering
weight
updated 6.7 years ago by
Gordon Smyth
52k • written 6.7 years ago by
andrew.birnberg
▴ 20
0
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1
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2.4k
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Observation/case weighting in cluster analysis in R
hclust
hierarchical clustering
clustering
weight
updated 7.8 years ago by
Aaron Lun
★ 28k • written 7.8 years ago by
danielle.newby
• 0
0
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3
replies
1.4k
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Get back to individual measures to calculate coefficients like the lmFit fucntion (limma package)
limma
lmfit
weight
individual
8.1 years ago
stephane.cauchi
▴ 10
4 results • Page
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Comment: GSEA preranked analysis downstream of DEseq2
by
Ajay
• 0
`logFC * -log10(pval)` seems to be the pi-score proposed in this [paper][1] [1]: https://pmc.ncbi.nlm.nih.gov/articles/PMC3957066/
Comment: error in ChAMP loading file
by
janwilseo
• 0
Any update on this post? I also had an issue with this. [erosion control](https://charlestonhydroseeding.com/)
Answer: CluserProfiler message "No gene can be mapped"
by
James W. MacDonald
68k
Two things. First, the order of your term2gene is backwards (should be term and then gene, like the name), and by default `enricher` adjust…
Comment: Controlling for batch and estrus cycle using DESeq2 in RNA-seq analysis
by
donnycrimson
• 0
One potential workaround might be to adjust for these factors using a combination of design matrices perhaps including batch as a covariate…
Comment: DESeq2 Design controlling for gender
by
donnycrimson
• 0
On a lighter note, while you are tackling such complex data, you might enjoy a quick break playing the [Slope Game](https://slopegame.lol)…
Votes
DiffBind; Error: No sites have activity greater than filter value
remove X and Y chromosome genes in RNA-seq data using DESeq2 pipeline
How to remove X & Y chromosome genes from RNAseq data
Is it advisable to remove X and Y chromosome genes in mouse bulk RNA-seq data at the level of the count matrix?
A: Unbalanced experiment with multiple samples from each patient.
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