GeneNMF
0.9.2Non-Negative Matrix Factorization for Single-Cell Omics
Overview
A collection of methods to extract gene programs from single-cell gene expression data using non-negative matrix factorization (NMF). 'GeneNMF' contains functions to directly interact with the 'Seurat' toolkit and derive interpretable gene program signatures.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-0913 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 90%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 0%
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Checks run against github.com/carmonalab/genenmf on 2026-08-16.
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Dependencies
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Code & Tests
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Package metadata
- First published
- 2024-02-29
- Total releases
- 5 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.3.0
- Bundled data
- 486 KB / 1 file
- Download size
- 556 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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Run in R for the authors' preferred citation:
citation("GeneNMF")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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