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.
Package details |
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Author | Fangfang Yan, Lukas M. Simon |
Maintainer | Fangfang Yan <Fangfang.Yan.1@uth.tmc.edu>, Lukas M. Simon <Lukas.Simon@bcm.edu> |
License | What license is it under? |
Version | 1.0 |
Package repository | View on GitHub |
Installation |
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