Methods to perform Joint graph Regularized Single-Cell Kullback-Leibler Sparse Non-negative Matrix Factorization ('jrSiCKLSNMF', pronounced "junior sickles NMF") on quality controlled single-cell multimodal omics count data. 'jrSiCKLSNMF' specifically deals with dual-assay scRNA-seq and scATAC-seq data. This package contains functions to extract meaningful latent factors that are shared across omics modalities. These factors enable accurate cell-type clustering and facilitate visualizations. Methods for pre-processing, clustering, and mini-batch updates and other adaptations for larger datasets are also included. For further details on the methods used in this package please see Ellis, Roy, and Datta (2023) <doi:10.3389/fgene.2023.1179439>.
| Version: | 1.2.3 | 
| Depends: | R (≥ 3.5.0) | 
| Imports: | Rcpp (≥ 1.0.9), igraph, umap, kknn, ggplot2, methods, stats, rlang, Matrix, data.table, parallel, pbapply, cluster, MASS, clValid, factoextra, foreach, irlba, scran, Rdpack, ggrepel | 
| LinkingTo: | Rcpp, RcppArmadillo, RcppProgress | 
| Suggests: | knitr, rmarkdown | 
| Published: | 2025-07-11 | 
| DOI: | 10.32614/CRAN.package.jrSiCKLSNMF | 
| Author: | Dorothy Ellis | 
| Maintainer: | Dorothy Ellis <ddemoreellis at gmail.com> | 
| License: | GPL-3 | 
| NeedsCompilation: | yes | 
| Citation: | jrSiCKLSNMF citation info | 
| Materials: | README, NEWS | 
| CRAN checks: | jrSiCKLSNMF results | 
| Package source: | jrSiCKLSNMF_1.2.3.tar.gz | 
| Windows binaries: | r-devel: jrSiCKLSNMF_1.2.3.zip, r-release: jrSiCKLSNMF_1.2.3.zip, r-oldrel: jrSiCKLSNMF_1.2.3.zip | 
| macOS binaries: | r-release (arm64): jrSiCKLSNMF_1.2.3.tgz, r-oldrel (arm64): jrSiCKLSNMF_1.2.3.tgz, r-release (x86_64): jrSiCKLSNMF_1.2.3.tgz, r-oldrel (x86_64): jrSiCKLSNMF_1.2.3.tgz | 
| Old sources: | jrSiCKLSNMF archive | 
Please use the canonical form https://CRAN.R-project.org/package=jrSiCKLSNMF to link to this page.