# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "GloScope" in publications use:' type: software license: Artistic-2.0 title: 'GloScope: Population-level Representation on scRNA-Seq data' version: 1.3.1 identifiers: - type: doi value: 10.32614/CRAN.package.GloScope abstract: This package aims at representing and summarizing the entire single-cell profile of a sample. It allows researchers to perform important bioinformatic analyses at the sample-level such as visualization and quality control. The main functions Estimate sample distribution and calculate statistical divergence among samples, and visualize the distance matrix through MDS plots. authors: - family-names: Torous given-names: William email: wtorous@berkeley.edu orcid: https://orcid.org/0000-0001-5668-5510 - family-names: Wang given-names: Hao email: hao_wang@berkeley.edu orcid: https://orcid.org/0000-0002-0749-474X - family-names: Purdom given-names: Elizabeth email: epurdom@stat.berkeley.edu - family-names: Gong given-names: Boying email: boyinggong@berkeley.edu preferred-citation: type: article title: Visualizing scRNA-Seq Data at Population Scale with GloScope authors: - family-names: Wang given-names: Hao email: hao_wang@berkeley.edu orcid: https://orcid.org/0000-0002-0749-474X - family-names: Torous given-names: William email: wtorous@berkeley.edu orcid: https://orcid.org/0000-0001-5668-5510 - family-names: Gong given-names: Boying email: boyinggong@berkeley.edu - family-names: Purdom given-names: Elizabeth email: epurdom@stat.berkeley.edu year: '2023' journal: bioRxiv url: https://doi.org/10.1101/2023.05.29.542786 repository: https://bioc.r-universe.dev repository-code: https://github.com/epurdom/GloScope commit: 26cae3e0f87a36a1383a19f5fbe26634a5838e0f url: https://github.com/epurdom/GloScope contact: - family-names: Torous given-names: William email: wtorous@berkeley.edu orcid: https://orcid.org/0000-0001-5668-5510