# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "HIPPO" in publications use:' type: software title: 'HIPPO: Heterogeneity-Induced Pre-Processing tOol' version: 1.17.0 abstract: For scRNA-seq data, it selects features and clusters the cells simultaneously for single-cell UMI data. It has a novel feature selection method using the zero inflation instead of gene variance, and computationally faster than other existing methods since it only relies on PCA+Kmeans rather than graph-clustering or consensus clustering. authors: - family-names: Kim given-names: Tae email: tk382@uchicago.edu - family-names: Chen given-names: Mengjie email: mengjiechen@uchicago.edu repository: https://bioc.r-universe.dev repository-code: https://github.com/tk382/HIPPO url: https://github.com/tk382/HIPPO contact: - family-names: Kim given-names: Tae email: tk382@uchicago.edu