forestDNM-package: Predicts de novo SNVs when provided a VCF containing variants...

In mbelmadani/forestDNM-archive: Predicts de novo SNVs when provided a VCF containing variants of a genotyped family.

Description

forestDNM is an R package built around a classifier that was trained to predict true de novo germline mutations (DNMs), using features derived from family genotype data contained in a VCF. The classifier was trained on 10 families with monozygotic twins, whose putative DNMs had undergone extensive experimental validation (the classifier was trained to predict validation status). In an independent test set of held-out data from the 10 families, sensitivity was > 95

Details

Package:	forestDNM
Type:	Package
Version:	0.1
Date:	2013-05-14
License:	What license is it under?

Author(s)

Jacob J. Michaelson

Maintainer: Jake Michaelson <[e-mail]>

References

Michaelson, et al. Whole-genome sequencing in autism identifies hot spots for de novo germline mutation. Cell (2012).

See Also

randomForest

mbelmadani/forestDNM-archive documentation built on May 30, 2019, 2:17 p.m.