# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "scpoisson" in publications use:' type: software license: MIT title: 'scpoisson: Single Cell Poisson Probability Paradigm' version: 0.0.1 doi: 10.32614/CRAN.package.scpoisson abstract: Useful to visualize the Poissoneity (an independent Poisson statistical framework, where each RNA measurement for each cell comes from its own independent Poisson distribution) of Unique Molecular Identifier (UMI) based single cell RNA sequencing (scRNA-seq) data, and explore cell clustering based on model departure as a novel data representation. authors: - family-names: Pan given-names: Yue email: yuep027@gmail.com - family-names: Landis given-names: Justin email: jtlandis314@gmail.com orcid: https://orcid.org/0000-0001-5501-4934 - family-names: Dittmer given-names: Dirk email: dirk_dittmer@med.unc.edu - family-names: Marron given-names: James S. email: marron@unc.edu - family-names: Wu given-names: Di email: did@email.unc.edu repository: https://yuepan027.r-universe.dev commit: b2c15f1caa2abeb110db3d72888bb403feed63a9 date-released: '2022-08-17' contact: - family-names: Pan given-names: Yue email: yuep027@gmail.com