Bioconductor FlowAI

Showing : flowAI • reset

votes

replies

167

views

flowAI

11 weeks ago • updated 10 weeks ago Olena • 0

votes

replies

315

views

flowAI

9 months ago Simoluc • 0

votes

1.2k

views

FlowAI FlowJo

2.9 years ago akaw3 • 0

votes

replies

3.1k

views

flowAI

written 3.0 years ago by msoares • 0

votes

878

views

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

votes

replies

545

views

flowAI software error

4.0 years ago christopher.hall • 0

votes

replies

1.8k

views

flowAI flow_auto_qc QC flow cytometry

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

votes

replies

821

views

flowAI

5.7 years ago crostomily • 0

8 results • Page 1 of 1

Recent ...

Replies

Answer: limma Intercept vs No-intercept models completely changing DMR results? by Gordon Smyth 50k

You seem to have the misunderstanding that you can change the design matrix but keep all the other code unchanged. The contrasts are comput…

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!

Comment: Too many significant genes when integrating gtex and tcga by Michael Love 41k

Yes, this was one of the aspects we highlighted in the 2014 paper, and it's also in the workflow. Check these places first. Also take a st…

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

Awards • All