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multifactorial
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deseq2 nested multifactorial analysis
DESeq2
multifactorial
nested
updated 2.8 years ago by
Basti
▴ 780 • written 2.8 years ago by
jd
• 0
0
votes
1
reply
1.2k
views
Log2FC in LRT vs Wald in multifactorial design
DESeq2
LRT
multifactorial
up/down-reg
log2FC
updated 3.0 years ago by
James W. MacDonald
68k • written 3.0 years ago by
Laia
▴ 10
0
votes
1
reply
1.2k
views
Interpreting results from DESeq2 time-series multifactorial data analysis
DESeq2
time-series
timecoursedata
timecourse
multifactorial
updated 3.1 years ago by
Michael Love
43k • written 3.1 years ago by
arshad1292
• 0
0
votes
2
replies
1.6k
views
DESeq2 interaction terms in 2x2x2 factorial design
Interactions
design
Multifactorial
DESeq2
updated 4.1 years ago by
swbarnes2
★ 1.4k • written 4.1 years ago by
Marie
• 0
4 results • Page
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Comment: Ensembl site unresponsive via biomaRt
by
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• 0
Fun, dramatic, and incredibly addictive [Poor Bunny][1] will make you laugh, scream, and keep you glued to the screen. Can you help the poo…
Comment: Limma-voom sample weights and impact on DEG numbers
by
rosarygaseous
• 0
I have faced similar issues before, and often the problem comes down to package versions or R/Bioconductor compatibility. Make sure your R …
Comment: nice 3D displays for PCA analysis
by
adam80haynes
• 0
That's a fascinating application of 3D printing in a scientific context. Using this technology to create custom lab equipment, models of mo…
Comment: Bioinformatician at the Lausanne University Hospital
by
TikTsokaasocissalpc
• 0
The Random Word Generator in Italian is a useful tool for generating ideas and exploring new approaches, much like the innovative research …
Comment: DECIPHER DesignProbes unable to design FISH-probes
by
TikTsokaasocissalpc
• 0
If you want to share your research progress and microbiome discoveries with colleagues or friends, [snaptroid android][1] download free mak…
Votes
Limma-voom sample weights and impact on DEG numbers
C: DESeq2 Following RSEM
Upcoming Ensembl API and data access changes - new blog post available
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Large logFC but somewhat high FDR
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