zdebruine/scNMF: Fast Non-negative matrix factorization toolkit for single cell data
Fast non-negative matrix factorization, with accessory functions for NMF cross-validation and divisive clustering for dataset compression specific to single cell use cases. scNMF can operate natively on Seurat objects.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | |
| Version | 1.0 |
| URL | https://github.com/zdebruine/scNMF |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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