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jrSiCKLSNMF

Multimodal Single-Cell Omics Dimensionality Reduction

v1.2.3 · Jul 11, 2025 · GPL-3

Description

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>.

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installed package size

installed size is  5.6Mb
  sub-directories of 1Mb or more:
    libs   3.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.6Mb
  sub-directories of 1Mb or more:
    libs   3.8Mb

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  5.6Mb
  sub-directories of 1Mb or more:
    libs   3.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.6Mb
  sub-directories of 1Mb or more:
    libs   3.8Mb

Dependency Network

Dependencies Reverse dependencies Rcpp igraph umap kknn ggplot2 rlang Matrix data.table pbapply cluster MASS clValid factoextra foreach irlba +3 more dependencies jrSiCKLSNMF

Version History

new 1.2.3 Mar 10, 2026
updated 1.2.3 ← 1.2.2 diff Jul 10, 2025
updated 1.2.2 ← 1.2.1 diff Feb 11, 2025
new 1.2.1 Jul 5, 2023