Package: scClustEval Type: Package Title: Single Cell Clustering Evaluation and Optimization Framework Version: 1.0.0 Date: 2026-01-26 Authors@R: c( person("Zaoqu", "Liu", email = "liuzaoqu@163.com", role = c("aut", "cre")), person("Chichau", "Miao", role = "ctb", comment = "Original SCCAF Python implementation")) Author: Zaoqu Liu [aut, cre], Chichau Miao [ctb] (Original SCCAF Python implementation) Maintainer: Zaoqu Liu Description: A comprehensive framework for evaluating and optimizing single-cell RNA-seq clustering results using self-projection machine learning approaches. The package implements an iterative optimization strategy that merges poorly discriminated clusters based on confusion matrix analysis, achieving robust and reliable cell type identification. Features include multiple classifier support (logistic regression, random forest, SVM, etc.), ROC curve analysis, confusion matrix visualization, and seamless integration with Seurat objects. This is an R implementation inspired by the SCCAF Python package. License: MIT + file LICENSE URL: https://github.com/Zaoqu-Liu/scClustEval BugReports: https://github.com/Zaoqu-Liu/scClustEval/issues Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Depends: R (>= 4.0.0) Imports: Matrix, Rcpp (>= 1.0.0), glmnet, caret, rpart, igraph, pROC, ggplot2, methods, stats, utils, parallel, future, rlang Suggests: Seurat, SeuratObject, randomForest, ranger, e1071, xgboost, leiden, patchwork, ComplexHeatmap, pheatmap, ggalluvial, testthat (>= 3.0.0), knitr, rmarkdown, BiocStyle LinkingTo: Rcpp, RcppArmadillo VignetteBuilder: knitr Config/testthat/edition: 3 Collate: 'RcppExports.R' 'scClustEval-package.R' 'utils.R' 'classifiers.R' 'confusion_matrix.R' 'clustering.R' 'assessment.R' 'optimization.R' 'seurat_integration.R' 'visualization.R' 'zzz.R' Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev Repository: https://zaoqu-liu.r-universe.dev Date/Publication: 2026-01-26 03:25:02 UTC RemoteUrl: https://github.com/Zaoqu-Liu/scClustEval RemoteRef: main RemoteSha: dabff729e1d04edfedf119d6d2c1617aa99de218 NeedsCompilation: yes Packaged: 2026-09-19 09:24:32 UTC; root