Bioconductor Catalyst

Showing : catalyst • reset

votes

replies

2.2k

views

CATALYST

updated 11 months ago by Hervé Pagès 16k • written 11 months ago by Hyoann ▴ 20

vote

replies

1.0k

views

CATALYST SingleCellExperiment

updated 3.4 years ago by helucro ▴ 70 • written 3.4 years ago by achaillon • 0

votes

replies

1.4k

views

CATALYST cytofWorkflow

updated 4.5 years ago by Martin Morgan 25k • written 4.5 years ago by Brent.OCarrigan • 0

votes

replies

1.1k

views

CATALYST

22 months ago • updated 21 months ago David • 0

votes

replies

635

views

CATALYST

updated 9 months ago by SamGG ▴ 350 • written 21 months ago by David • 0

votes

984

views

CATALYST flowCore assignPrelim Error in vapply read.FCS

5.3 years ago j.krop • 0

votes

replies

405

views

CATALYST

14 months ago Shaun • 0

votes

replies

230

views

visua Visualization CATALYST

5 months ago elefth.pavlos ▴ 40

8 results • Page 1 of 1

Recent ...

Replies

Answer: Differential gene expression analysis results by ATpoint ★ 4.1k

Pease do not open multiple posts for the same issue: https://support.bioconductor.org/p/9158194/#9158222 The support site is not meant f…

Comment: deseq2 results by sajadahmad41454 • 0

thank you for your response, should i remove or discard that sample? since the red outlier on left represents one of healthy samples.

Comment: deseq2 results by swbarnes2 ★ 1.4k

It looks like the PCA plot of a real RNASeq experiment. The red outlier on the left might be the mathematical reason why you have few vali…

Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Dylan.Sheerin • 0

Thank you very much, Gordon. I'll give voomLmFit a go!

Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie by Gordon Smyth 50k

Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…

Votes

Comment: deseq2 results

Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie

Answer: Extremely small p-values using Limma for proteomic data

Bioconductor 3.19 is Released!

Awards • All