# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "SCENT" in publications use:' type: software license: GPL-3.0-only title: 'SCENT: Single Cell Entropy for Estimating Differentiation Potency' version: 2.0.0 doi: 10.32614/CRAN.package.SCENT abstract: Estimates differentiation potency of single cells from scRNA-Seq data using signaling entropy on protein interaction networks. Implements both the full Signaling Entropy Rate (SR) and the fast CCAT approximation. Based on the method described in Teschendorff AE, Enver T (2017) . authors: - family-names: Teschendorff given-names: Andrew E email: andrew@picb.ac.cn - family-names: Liu given-names: Zaoqu email: liuzaoqu@163.com orcid: https://orcid.org/0000-0002-0452-742X repository: https://zaoqu-liu.r-universe.dev repository-code: https://github.com/Zaoqu-Liu/SCENT commit: 8a3a80953befa50b4320249d28e1ce0afb6c5e06 url: https://zaoqu-liu.github.io/SCENT/ date-released: '2026-01-23' contact: - family-names: Liu given-names: Zaoqu email: liuzaoqu@163.com orcid: https://orcid.org/0000-0002-0452-742X