Bioconductor FlowAI

Showing : FlowAI • reset

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flowAI

written 3.0 years ago by msoares • 0

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flowAI flow_auto_qc QC flow cytometry

updated 4.5 years ago by gianni • 0 • written 4.5 years ago by vinko.tosevski • 0

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879

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software error flow cytometry ggcyto flowAI

updated 3.9 years ago by Kevin Blighe ★ 3.9k • written 3.9 years ago by Robert Baer ▴ 70

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168

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flowAI

11 weeks ago • updated 10 weeks ago Olena • 0

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FlowAI FlowJo

2.9 years ago akaw3 • 0

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flowAI

5.7 years ago crostomily • 0

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317

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flowAI

9 months ago Simoluc • 0

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545

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flowAI software error

4.0 years ago christopher.hall • 0

8 results • Page 1 of 1

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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!

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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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