runGrosselin_mikado: Multi-scenario analysis of single-cell epigenomic data
In plbaldoni/scChIPseqsim: Single-cell ChIP-seq Data Simulator Based on Pseudo-bulk Profiles
Description
Usage
Arguments
Details
Value
Author(s)
View source: R/runGrosselin_mikado.R
Description
Add description here
Usage
1
runGrosselin_mikado(path, cores = 4, minReads = 5000, maxPct = 1)
Arguments
path
directory
cores
number of cores
minReads
minimum number of reads per cell to consider
maxPct
upper percentile of reads per cell to consider
Details
Add details here
Value
Add return here
Author(s)
Pedro L. Baldoni, pedrobaldoni@gmail.com
plbaldoni/scChIPseqsim documentation built on June 11, 2020, 7:41 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Author(s)
View source: R/runGrosselin_mikado.R
Description
Add description here
Usage
1 | runGrosselin_mikado(path, cores = 4, minReads = 5000, maxPct = 1)
|
Arguments
path |
directory |
cores |
number of cores |
minReads |
minimum number of reads per cell to consider |
maxPct |
upper percentile of reads per cell to consider |
Details
Add details here
Value
Add return here
Author(s)
Pedro L. Baldoni, pedrobaldoni@gmail.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.