EmptyNN-package: Remove empty droplets in scRNA-seq data

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

Remove empty droplets in scRNA-seq data

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.

Details

The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.
~~ An overview of how to use the package, including the most important functions ~~

Author(s)

Fangfang Yan, Lukas M. Simon

Maintainer: Fangfang Yan <[e-mail]>, Lukas M. Simon <[e-mail]>

References

~~ Literature or other references for background information ~~

See Also

~~ Optional links to other man pages, e.g. ~~ ~~ <pkg> ~~

Examples

~~ simple examples of the most important functions ~~

lkmklsmn/empty_nn documentation built on Jan. 30, 2024, 1:31 a.m.