DESCRIPTION

Package: EmptyNN
Type: Package
Title: Remove empty droplets in scRNA-seq data
Version: 1.0
Imports:
    keras (== 2.8.0),
    tensorflow (== 2.8.0),
    Matrix
Date: 2022-03-23
Author: Fangfang Yan, Lukas M. Simon
Maintainer: Fangfang Yan <Fangfang.Yan.1@uth.tmc.edu>, Lukas M. Simon <Lukas.Simon@bcm.edu>
Description: 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.
License: What license is it under?