mrrichowen/snv.predict: snv.predict uses true and false positives to improve snvs called from single cell RNA-seq data.
Version 0.1.0

snv.predict applies random forest, logisitic regression and support vector machine learning to improve snv calls from single cell RNA-seq data. True positives are defined by the user and syntehetic spike-ins are used for false positive data (curretnly ERCCs only).

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("mrrichowen/snv.predict")
mrrichowen/snv.predict documentation built on Sept. 19, 2017, 6:59 p.m.