{ "_id": "6ace24d6a14063b82c3b04a7", "Package": "geneticumap", "Title": "Evolutionary Algorithm for UMAP-based Clustering Pipeline\nParameter Optimization for Single-Cell RNA-Seq Data", "Version": "0.99.3", "Date": "2026-10-13", "Authors@R": "c(\nperson(\"Lisa-Maria\", \"Winter\", email = \"lisa-maria-1.winter@uni-ulm.de\", role = c(\"aut\")),\nperson(\"Hanna\", \"Wagner\", email = \"hanna.wagner@uni-ulm.de\", role = c(\"aut\")),\nperson(\"Dominik\", \"Dreiheller\", role = c(\"aut\")),\nperson(\"Hans A.\", \"Kestler\", email = \"hans.kestler@uni-ulm.de\", role = c(\"cre\"), comment=c(ORCID=\"0000-0002-4759-5254\")))", "Description": "The geneticumap package searches for single-cell\nclustering parameters by treating the Seurat preprocessing and\nclustering workflow as an optimization problem. The UMAP-based\nclustering pipeline parameters for single-cell RNA-seq data\n(like resolution, number of PCs, or neighbor counts) evolve\nusing an evolutionary algorithm to systematically search for an\noptimal set of parameters for a given dataset. The most\nappropriate configuration is objectively identified by the\nCalinski-Harabasz index. 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