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Theoretical WGCNA Question
WGCNA
Theory
Scale-Free Topology
updated 15 days ago by
Garrett
• 0 • written 9.1 years ago by
brohawndg
▴ 150
2
votes
2
replies
892
views
DSS understanding delta option and posterior probability
posterior pobability
statistical test
theory
updated 4.0 years ago by
James W. MacDonald
65k • written 4.0 years ago by
stephanie.rialle
• 0
0
votes
2
replies
1.0k
views
News:
Ascona Workshop “Biological systems: from first principles to data-driven modelling and back” 27. 3. - 1. 4. 2022
theory
modeling
statistics
ascona
Workshop
2.5 years ago • updated 15 months ago
Wolfgang Huber
★ 13k
3 results • Page
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Answer: Once again a "Model matrix not full rank"
by
swbarnes2
★ 1.3k
Replicate numbers, like the 1 in control_1 are fine in sample names, but never add them to anything else in colData. From the computer's p…
Answer: limma Intercept vs No-intercept models completely changing DMR results?
by
Gordon Smyth
50k
I'll add a little bit of general advice to James' answer. You seem to have the misunderstanding that you can change the design matrix but …
Answer: package goseq seems to be not available on the latest version of R
by
Gordon Smyth
50k
It is true that goseq isn't available for Bioc 3.19. That is because goseq depends on txbmaker, which is itself not yet available for Bioc…
Answer: limma Intercept vs No-intercept models completely changing DMR results?
by
James W. MacDonald
65k
This part: ``` design_intercept <- model.matrix(~Alt+Sex+Age+PC1, data=targets_Sherpa) colnames(design_intercept) <- c("AltSHP_LA","Al…
Comment: CombineArrays for EPIC and EPIC V2
by
Kim
• 0
Thank you Tim, this is a great help in getting me started!
Votes
Answer: limma Intercept vs No-intercept models completely changing DMR results?
Answer: CombineArrays for EPIC and EPIC V2
Answer: Too many significant genes when integrating gtex and tcga
Comment: Too many significant genes when integrating gtex and tcga
A: Print Differentially Expressed Exons From Dexseq Results
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