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batch-effect
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1.1k
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Export Results from BatchQC Shiny App
BatchQC
RNA-seq
R
Shiny
batch-effect
5.4 years ago
manninm
• 0
4
votes
4
replies
3.1k
views
Average read counts and batch-effect correction in edgeR
edgeR
batch-effect
RNA-seq
read counts
ngs
updated 6.7 years ago by
Aaron Lun
★ 29k • written 6.7 years ago by
Roman
▴ 20
3
votes
7
replies
2.9k
views
Batch effects between controls
batch-effect
ruvseq
updated 7.9 years ago by
James W. MacDonald
68k • written 7.9 years ago by
llo
▴ 10
2
votes
5
replies
7.7k
views
RNA-Seq Batch correction negative values
rna-seq
batch-effect
combat
scran
sva
updated 8.0 years ago by
Aaron Lun
★ 29k • written 8.0 years ago by
firestar
▴ 20
4 results • Page
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Comment: Visualization of Functional Enrichment Result with enrichplot: How to control la
by
zhaoqiansun0592
• 0
Wow, this is super helpful! I always struggle with label sizes in enrichplot. Glad to see a solution using gginnards([Pasjans][1]) and ggre…
Comment: Could we detect difference at pathway level but not significant different at gen
by
zhaoqiansun0592
• 0
Interesting question! It's cool that ChatGPT4 gave such a helpful answer. I've also been wondering if pathways([space waves][1]) can show d…
Comment: Perform gene set enrichment analysis using fgsea on two conditions that don't ha
by
zhaoqiansun0592
• 0
Good to know there are workarounds for these tricky [doodle baseball][1]! Thanks for sharing the tips! [1]: https://doodle-baseball.cc/
Comment: GO.db and others package Download failure
by
James W. MacDonald
68k
Also, you never need to use anything but `BiocManager::install` to install any package, which has the beneficial side effect of ensuring th…
Comment: GO.db and others package Download failure
by
James W. MacDonald
68k
Yes. Your packages have odd Y version numbers (where the version is X.Y.Z). That means they are devel packages (release versions have even …
Votes
Comment: readDNAStringSet with non DNA characters
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
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