Package: RCSL
Type: Package
Title: Rank Constrained Similarity Learning for single cell RNA
        sequencing data
Version: 1.18.0
Date: 2021-04-01
Authors@R: c(
  person(given = "Qinglin", family = "Mei", email = "meiqinglinkf@163.com", role = c("cre","aut")),
  person(given = "Guojun", family = "Li", email = "guojunsdu@gmail.com", role = "fnd"),
  person(given = "Zhengchang", family = "Su", email = "zcsu@uncc.edu", role = "fnd"))
Maintainer: Qinglin Mei <meiqinglinkf@163.com>
Description: A novel clustering algorithm and toolkit RCSL (Rank
        Constrained Similarity Learning) to accurately identify various
        cell types using scRNA-seq data from a complex tissue. RCSL
        considers both lo-cal similarity and global similarity among
        the cells to discern the subtle differences among cells of the
        same type as well as larger differences among cells of
        different types. RCSL uses Spearman’s rank correlations of a
        cell’s expression vector with those of other cells to measure
        its global similar-ity, and adaptively learns neighbour
        representation of a cell as its local similarity. The overall
        similar-ity of a cell to other cells is a linear combination of
        its global similarity and local similarity.
URL: https://github.com/QinglinMei/RCSL
Depends: R (>= 4.1)
License: Artistic-2.0
VignetteBuilder: knitr
biocViews: SingleCell, Software, Clustering, DimensionReduction,
        RNASeq, Visualization, Sequencing
Suggests: testthat, knitr, BiocStyle, rmarkdown, mclust, tidyverse,
        tinytex
Imports: RcppAnnoy, igraph, NbClust, Rtsne, ggplot2(>= 3.4.0), methods,
        pracma, umap, grDevices, graphics, stats, Rcpp (>= 0.11.0),
        MatrixGenerics, SingleCellExperiment
LazyData: TRUE
Encoding: UTF-8
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2025-11-14 07:30:16 UTC; root
Author: Qinglin Mei [cre, aut], Guojun Li [fnd], Zhengchang Su [fnd]
Config/pak/sysreqs: libglpk-dev libpng-dev libxml2-dev libssl-dev
        python3 zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 15:10:06 UTC
RemoteUrl: https://github.com/bioc/RCSL
RemoteRef: RELEASE_3_22
RemoteSha: 98e4992e95eb1e9e3e99e4548beb111db4959c0e
Built: R 4.5.2; ; 2025-11-14 07:34:25 UTC; windows
