preciseTADhub-package: Pre-trained models obtained using preciseTAD as 'list'...

In stilianoudakis/preciseTADhub: Pre-trained random forest models obtained using preciseTAD

Description

preciseTADhub is package that give users access to pre-trained random forest models that can be leveraged to predict TAD and/or chromatin loop boundaries using the preciseTAD R package. These data have been parsed into list objects and RDS files and are available in ExperimentHub.

Details

See the vignette for examples of using these data in predicting precise boundary location at base-level resolution.

browseVignettes("preciseTADhub")

Details of how these data were created are in the scripts/ directory of the source package.

Examples

## Not run: 
library(ExperimentHub)
eh <- ExperimentHub()
myfiles <- query(eh, "preciseTADhub")
CHR1_GM12878_5kb_Arrowhead <- myfiles[[1]]

## End(Not run)

stilianoudakis/preciseTADhub documentation built on Dec. 31, 2020, 7:34 a.m.