{ "_id": "6a267e2f794753ddbc3efff5", "Package": "DDRTree2", "Type": "Package", "Title": "Learning Principal Graphs with DDRTree (Performance-Optimized\nFork)", "Version": "0.2.0", "Date": "2025-10-03", "Authors@R": "c(\nperson(\"Xiaojie\", \"Qiu\", role = c(\"aut\"), email = \"xqiu@uw.edu\"),\nperson(\"Cole\", \"Trapnell\", role = \"aut\"),\nperson(\"Qi\", \"Mao\", role = \"aut\"),\nperson(\"Li\", \"Wang\", role = \"aut\"),\nperson(\"Billsfriend\", role = c(\"cre\", \"ctb\"),\nemail = \"Billsfriend1999@outlook.com\",\ncomment = \"OpenMP parallelization and performance optimizations\"))", "Author": "Xiaojie Qiu [aut], Cole Trapnell [aut], Qi Mao [aut], Li Wang\n[aut], Billsfriend [cre, ctb] (OpenMP parallelization and\nperformance optimizations)", "Maintainer": "Billsfriend ", "Description": "Provides an implementation of the framework of reversed\ngraph embedding (RGE) which projects data into a reduced\ndimensional space while constructing a principal tree which\npasses through the middle of the data simultaneously. DDRTree\nshows superiority to alternatives (Wishbone, DPT) for inferring\nthe ordering as well as the intrinsic structure of single cell\ngenomics data. In general, it could be used to reconstruct the\ntemporal progression as well as bifurcation structure of any\ndatatype. This version includes OpenMP parallelization for\nsignificant performance improvements (11x speedup on typical\ndatasets).", "License": "Artistic-2.0 | file LICENSE", "URL": "https://github.com/Billsfriend/DDRTree2", "BugReports": "https://github.com/Billsfriend/DDRTree2/issues", "RoxygenNote": "7.3.3", "Encoding": "UTF-8", "SystemRequirements": "OpenMP (optional, for parallel execution)", "NeedsCompilation": "yes", "Note": "This is a performance-optimized fork of the original CRAN package\n(v0.1.5) by Xiaojie Qiu et al. The original algorithm and core\nfunctionality remain unchanged. 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