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Fluidigm
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Combine scRNAseq data for bulk analysis using DESeq2
DESeq2
scRNAseq
Fluidigm
19 months ago • updated 18 months ago
evocanres
• 0
0
votes
1
reply
1.2k
views
Fluidigm data analysis - how to get adj p-values for 96 genes
fluidigm
wilcoxon signed rank test
t.test
adj.p.value
normal distribution
updated 8.1 years ago by
Gordon Smyth
50k • written 8.1 years ago by
dk364
• 0
0
votes
1
reply
1.0k
views
Normalization and batch effect adjustment of fluidgm pcr data to be analyzed with Limma
fluidigm
normalization
limma
pcr
updated 7.3 years ago by
Gordon Smyth
50k • written 7.3 years ago by
raf4
▴ 20
0
votes
1
reply
528
views
Limma for Fluidigm high throughput PCR
limma
Limma
Fluidigm
updated 13 months ago by
Gordon Smyth
50k • written 13 months ago by
jms2520
▴ 10
0
votes
0
replies
820
views
HTqPCR for Fluidigm Results
htqpcr
fluidigm
6.2 years ago
rhonce
• 0
0
votes
0
replies
916
views
Import problem with HTqPCR Fluidigm 96.96
htqpcr
bioconductor
fluidigm
biomark
6.2 years ago
reed27
• 0
6 results • Page
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Recent ...
Replies
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Intent to delete when going home. Sorry for that!
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Gordon Smyth
50k
Please ask you own question. Inserting your own dataset into someone else's question like this is very impolite. I have already answered m…
Comment: package goseq seems to be not available on the latest version of R
by
Gordon Smyth
50k
limma most certainly is available. It installs in R 4.4.0 and Bioc 3.19 for all platforms without any issues. It has not had any period of …
Comment: package goseq seems to be not available on the latest version of R
by
Patrycja
▴ 20
limma package also isn't available.Is there any information when these packages will be available?
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Thanks Gordon for the advice!
Votes
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Handling multiple differential expression comparisons
Answer: fgsea significant result
Answer: fgsea significant result
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