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t.test
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2
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6
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425
views
How to make boxplot with pairwise and overall p value from Limma
t.test
boxplot
limma
anova
4 weeks ago
Chris
• 0
2
votes
1
reply
665
views
Which test fits the best here
fisher
wilcox
t.test
3.7 years ago
AZ
▴ 30
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
2
votes
5
replies
3.8k
views
How to use t.test to select best features out of multiple features?
microarray
biobase
feature selection
t.test
R
updated 8.7 years ago by
svlachavas
▴ 830 • written 8.7 years ago by
babumanish837
▴ 10
2
votes
4
replies
6.2k
views
T-test for microarray data
limma
microarray
t.test
updated 9.2 years ago by
Martin Morgan
25k • written 9.2 years ago by
eslamias
• 0
6
votes
10
replies
4.8k
views
defining a function for multiple paired t.test in many rows of a microarray dataset
microarray
r
t.test
bioconductor
updated 9.3 years ago by
Gordon Smyth
50k • written 9.3 years ago by
svlachavas
▴ 830
6 results • Page
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Comment: deseq2 results
by
sajadahmad41454
• 0
thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.
Comment: deseq2 results
by
swbarnes2
★ 1.4k
It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…
Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Dylan.Sheerin
• 0
Thank you very much, Gordon. I'll give voomLmFit a go!
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Gordon Smyth
50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
Comment: Log-cpm values from limma
by
Gordon Smyth
50k
No, it does not mean that. `voom()` uses the design matrix with the W covariates, to compute precision weights but not to adjust the log-cp…
Votes
Comment: deseq2 results
Comment: deseq2 results
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
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