lkmklsmn/empty_nn: Remove empty droplets in scRNA-seq data

EmptyNN is a Positive-unlabeled (PU) learning based neural network approach to remove empty droplets and recover lost cells from droplet-based single cell RNA sequencing data.

Getting started

Package details

AuthorFangfang Yan, Lukas M. Simon
MaintainerFangfang Yan <Fangfang.Yan.1@uth.tmc.edu>, Lukas M. Simon <Lukas.Simon@bcm.edu>
LicenseWhat license is it under?
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("lkmklsmn/empty_nn")
lkmklsmn/empty_nn documentation built on Jan. 30, 2024, 1:31 a.m.