# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "DCATS" in publications use:' type: software license: MIT title: 'DCATS: Differential Composition Analysis Transformed by a Similarity matrix' version: 1.3.0 abstract: Methods to detect the differential composition abundances between conditions in singel-cell RNA-seq experiments, with or without replicates. It aims to correct bias introduced by missclaisification and enable controlling of confounding covariates. To avoid the influence of proportion change from big cell types, DCATS can use either total cell number or specific reference group as normalization term. authors: - family-names: Lin given-names: Xinyi email: linxy29@connect.hku.hk orcid: https://orcid.org/0000-0002-7780-2461 - family-names: Chau given-names: Chuen email: hadley@posit.co - family-names: Huang given-names: Yuanhua email: jenny@posit.co - name: Joshua W.K. Ho repository: https://bioc.r-universe.dev contact: - family-names: Lin given-names: Xinyi email: linxy29@connect.hku.hk orcid: https://orcid.org/0000-0002-7780-2461