# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "DDRTree" in publications use:' type: software license: Artistic-2.0 title: 'DDRTree: Learning Principal Graphs with DDRTree' version: 0.1.5 doi: 10.32614/CRAN.package.DDRTree abstract: Provides an implementation of the framework of reversed graph embedding (RGE) which projects data into a reduced dimensional space while constructs a principal tree which passes through the middle of the data simultaneously. DDRTree shows superiority to alternatives (Wishbone, DPT) for inferring the ordering as well as the intrinsic structure of the single cell genomics data. In general, it could be used to reconstruct the temporal progression as well as bifurcation structure of any datatype. authors: - family-names: Qiu given-names: Xiaojie email: xqiu@uw.edu - family-names: Trapnell given-names: Cole - family-names: Mao given-names: Qi - family-names: Wang given-names: Li repository: https://xiaojieqiu.r-universe.dev commit: f85c05b4b6c6f2758038f9777f788db1acd18881 date-released: '2017-04-14' contact: - family-names: Qiu given-names: Xiaojie email: xqiu@uw.edu