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Assessing goodness of fit of a limma model fitted to microarray data
limma
microarray
goodness of fit
6.4 years ago
rubi
▴ 110
6
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1.9k
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Difference in Goodness of fit when applying limma to one-colour vs. two-colour arrays
limma
two-colour
common reference
goodness of fit
updated 9.4 years ago by
Gordon Smyth
52k • written 9.4 years ago by
andreas.schuettler
• 0
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Comment: Incorporating Salmon offset matrix into Wilcoxon DEG analysis
by
Gordon Smyth
52k
Sorry, I cannot follow what you're saying. The two code sequences you show look to be exactly the same.
Answer: Mean variance curve troubleshoot filtering
by
Gordon Smyth
52k
You could use `filterByExpr()`, as recommended by Law et al (2018) and in the limma and edgeR case studies. However, the main problem wi…
Comment: How do I fix an odd voom plot in a combined dataset?
by
Gordon Smyth
52k
The fact that you have partial NA coefficients indicates that your merged dataset consists in good part of NAs for a very large number of g…
Comment: How do I fix an odd voom plot in a combined dataset?
by
1sunmic2
• 0
Thanks for responding! I did change the code slightly: dge1 <- DGEList(counts = combined_data_counts) keep <- rowSums(cpm(dge1)…
Comment: Incorporating Salmon offset matrix into Wilcoxon DEG analysis
by
Andre
• 0
The estimateGLMRobustDisp() function seems to have an effect on glmQLFit(), even in edgeR 4 (4.4.1). If I use estimateGLMRobustDisp(), like…
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Answer: How do I fix an odd voom plot in a combined dataset?
Answer: How do I fix an odd voom plot in a combined dataset?
Comment: How do I fix an odd voom plot in a combined dataset?
C: How does edgeR cpm function calculate log(CPM) values?
C: How does edgeR cpm function calculate log(CPM) values?
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