{ "_id": "6abe46c999f7aa8c6aa54a44", "Package": "TrajectoryGeometry", "Title": "This Package Discovers Directionality in Time and Pseudo-times\nSeries of Gene Expression Patterns", "Version": "1.21.0", "Authors@R": "person(given = \"Anna\",\nfamily = \"Laddach\",\nrole = c(\"aut\", \"cre\"),\nemail = \"anna.laddach@crick.ac.uk\",\ncomment = c(ORCID = \"0000-0001-5552-6534\"))\nperson(given = \"Michael\",\nfamily = \"Shapiro\",\nrole = c(\"aut\", \"cre\"),\nemail = \"michael.shapiro@crick.ac.uk\",\ncomment = c(ORCID = \"0000-0002-2769-9320\"))", "Description": "Given a time series or pseudo-times series of gene\nexpression data, we might wish to know: Do the changes in gene\nexpression in these data exhibit directionality? Are there\nturning points in this directionality. Do different subsets of\nthe data move in different directions? This package uses\nspherical geometry to probe these sorts of questions. In\nparticular, if we are looking at (say) the first n dimensions\nof the PCA of gene expression, directionality can be detected\nas the clustering of points on the (n-1)-dimensional sphere.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.1", "VignetteBuilder": "knitr", "biocViews": "BiologicalQuestion, StatisticalMethod, GeneExpression,\nSingleCell", "Config/pak/sysreqs": "cmake libfreetype6-dev libglu1-mesa-dev make\ntexlive libpng-dev libuv1-dev libgl1-mesa-dev zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:54:58 UTC", "RemoteUrl": "https://github.com/bioc/TrajectoryGeometry", "RemoteRef": "HEAD", "RemoteSha": "3cb342384f217afa8d764cd76c18b1b65f4dd62c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-01 11:31:46 UTC", "User": "root" }, "Author": "Michael Shapiro [aut, cre] (ORCID:\n)", "Maintainer": "Michael Shapiro ", "_user": "bioc", "_type": "src", "_file": 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