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Comment: Crossover design with limma
by
Marek Gierlinski
▴ 30
Thank you for your answer. It is an interesting solution. I've never though of modifying the design matrix itself - I always try to have a …
Comment: pathview - multiple states
by
Guido Hooiveld
★ 4.1k
According to the the help page of `pathview` (type `?pathview`) the input should be `either vector (single sample) or a matrix-like data (m…
Comment: scuttle::perFeatureQCMetrics runs very slow for big scRNA-seq data
by
Aaron Lun
★ 28k
You can examine the structure of a `DelayedMatrix` by calling the `showtree()` function. For example: ``` library(scRNAseq) X <- fetchData…
Comment: lfcShrink and alpha value
by
cropero
• 0
Thank you so much! Would that be equivalent to perform `res <- results(dds, contrast = c("conditions", "wild_type_114_2_no_carbon", "wild_t…
Comment: pathview - multiple states
by
Philippine
• 0
Thank you! Here a subset of genes that really works with "ame04145". data <- data.frame( EntrezID = c(100577548, 100577764, 406…
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Answer: Crossover design with limma
Answer: Crossover design with limma
Answer: Different PCA results when using rlog and vst transformations
Answer: contrast matrix design for a continuous variable
A: What's the difference between p.adjust and qvalue?
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