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NanoStringDiff
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0
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replies
2.0k
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fgsea/clusterProfiler Packages for nCounter data enrichment analysis
NanoStringDiff
clusterProfiler
fgsea
2.3 years ago
pg45863
▴ 10
0
votes
2
replies
1.7k
views
Nanostring data differential expression analysis: limma or DESeq2?
DESeq2
NanoStringDiff
limma
2.3 years ago
pg45863
▴ 10
0
votes
1
reply
1.1k
views
Micro Array GEO data analysis
GEOquery
MicroarrayData
Normalization
Microarray
NanoStringDiff
updated 2.6 years ago by
James W. MacDonald
68k • written 2.6 years ago by
Aleksandra
• 0
0
votes
2
replies
802
views
NanoStringDiff contrast vectors
NanoStringDiff
updated 2.8 years ago by
James W. MacDonald
68k • written 2.8 years ago by
Paraskevi
• 0
0
votes
0
replies
876
views
NanoStringDiff
DifferentialExpression
NanoStringDiff
3.8 years ago
sanrie10
• 0
5
votes
7
replies
2.3k
views
Nanostringdiff - defining contrast values for blocking variables in glm
limma
edgeR
DESeq2
NanoStringDiff
updated 4.0 years ago by
James W. MacDonald
68k • written 4.0 years ago by
reberya
• 0
3
votes
2
replies
1.4k
views
R NanoStringDiff: DE analysis, from 2 group comparison method how "logFC" generated?
Nan
NanoStringDiff
4.2 years ago
choijamts
• 0
3
votes
6
replies
2.5k
views
Why NanoStringDiff package so slow?
NanoStringDiff
NanoString
nCounter
DE analysis
updated 22 months ago by
georgersmith
• 0 • written 6.1 years ago by
lim6432
▴ 60
0
votes
0
replies
927
views
NanoStringDiff - housekeeping genes variation
NanoStringDiff
4.5 years ago
YM
• 0
1
vote
1
reply
1.3k
views
NanoStringDiff Not Recognized as Numeric
Bioconductor
Transcriptomics
NanoStringDiff
updated 4.9 years ago by
Laurent Gatto
1.6k • written 4.9 years ago by
Pedro
▴ 10
1
vote
7
replies
1.6k
views
NanoStringDiff glm.LRT not finishing after 20 hours
NanoStringDiff
5.7 years ago
stephen.pollo
• 0
0
votes
2
replies
1.2k
views
NanoStringDiff correction for variation between patient
NanoStringDiff
GLM
Gene expression
updated 6.1 years ago by
James W. MacDonald
68k • written 6.1 years ago by
Guillaume Robert
• 0
3
votes
3
replies
1.9k
views
NanoStringDiff counts not numeric
NanoStringDiff
updated 20 months ago by
pjanas
• 0 • written 6.3 years ago by
noelleenright
▴ 10
1
vote
6
replies
2.7k
views
How to access normalized data in the NanoStringDiff package?
nanostringdiff
nanostring
NanoStringDiff
updated 7.3 years ago by
James W. MacDonald
68k • written 7.3 years ago by
casey.rimland
▴ 170
0
votes
0
replies
1.7k
views
design matrix and contrast for paired experiment using NanoStringDiff for nCounter data
nanostring
NanoStringDiff
design and contrast matrix
differential gene expression
ncounter
8.2 years ago
c.kohler
• 0
15 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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