Package: geneticumap 0.99.3

geneticumap: Evolutionary Algorithm for UMAP-based Clustering Pipeline Parameter Optimization for Single-Cell RNA-Seq Data

The geneticumap package searches for single-cell clustering parameters by treating the Seurat preprocessing and clustering workflow as an optimization problem. The UMAP-based clustering pipeline parameters for single-cell RNA-seq data (like resolution, number of PCs, or neighbor counts) evolve using an evolutionary algorithm to systematically search for an optimal set of parameters for a given dataset. The most appropriate configuration is objectively identified by the Calinski-Harabasz index. The package is developed at the [Institute of Medical Systems Biology of Ulm University](https://sysbio.uni-ulm.de).

Authors:Lisa-Maria Winter [aut], Hanna Wagner [aut], Dominik Dreiheller [aut], Hans A. Kestler [cre]