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Limma Design matrix for time series+treatment+batch effect
limma factorial design matrix microarray
updated 5.3 years ago by ★ 28k • written 5.3 years ago by • 0
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LIMMA: interpreting interaction terms in an unbalanced factorial design with repeated measures
LIMMA FACTORIAL REPEATED MEASURES differential gene expression
9.3 years ago • updated 9.1 years ago robert.maughan • 0
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Answer: Deseq2 res Function by Michael Love 43k
> Does this mean the young and KO groups were numerators and denominators in the analysis, respectively? Read over the vignette and work…
Answer: ANOVA like approach of edgeR by Gordon Smyth 51k
You need to clarify whether interactions are present for the two factors in your study. In the two factors do not interact, then the code y…
Answer: Create Illmina bead summary data by Gordon Smyth 51k
GenomeStudio produces IDAT files that you can read using the `read.idat` function in limma. That is the recommended way to read GenomeStudi…
Comment: Help with RSEM counts: do I transpose matrix? by NB • 0
OK thank you.
Comment: Help with RSEM counts: do I transpose matrix? by James W. MacDonald 67k
You can ask here, but please read the `DESeq2` vignette first, which should answer most questions.
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Answer: Deseq2 res Function
Answer: BiocNeighbours Utility for k-Nearest Neighbour Classification
Answer: ANOVA like approach of edgeR
Answer: ANOVA like approach of edgeR
Comment: ANOVA like approach of edgeR
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