Package: TrajectoryGeometry
Title: This Package Discovers Directionality in Time and Pseudo-times
        Series of Gene Expression Patterns
Version: 1.19.0
Authors@R: 
    person(given = "Anna",
        family = "Laddach",
        role = c("aut", "cre"),
        email = "anna.laddach@crick.ac.uk",
        comment = c(ORCID = "0000-0001-5552-6534"))
    person(given = "Michael",
        family = "Shapiro",
        role = c("aut", "cre"),
        email = "michael.shapiro@crick.ac.uk",
        comment = c(ORCID = "0000-0002-2769-9320"))
Description: Given a time series or pseudo-times series of gene
        expression data, we might wish to know: Do the changes in gene
        expression in these data exhibit directionality?  Are there
        turning points in this directionality.  Do different subsets of
        the data move in different directions?  This package uses
        spherical geometry to probe these sorts of questions.  In
        particular, if we are looking at (say) the first n dimensions
        of the PCA of gene expression, directionality can be detected
        as the clustering of points on the (n-1)-dimensional sphere.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Imports: pracma, rgl, ggplot2, stats, methods
Depends: R (>= 4.1)
Suggests: dplyr, knitr, RColorBrewer, rmarkdown
VignetteBuilder: knitr
biocViews: BiologicalQuestion, StatisticalMethod, GeneExpression,
        SingleCell
Config/pak/sysreqs: libfreetype6-dev libglu1-mesa-dev make texlive
        libpng-dev libgl1-mesa-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 15:06:13 UTC
RemoteUrl: https://github.com/bioc/TrajectoryGeometry
RemoteRef: HEAD
RemoteSha: fede760073dae5a935d0ca850587d10e41583b03
NeedsCompilation: no
Packaged: 2026-01-22 20:13:42 UTC; root
Author: Michael Shapiro [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-2769-9320>)
Maintainer: Michael Shapiro <michael.shapiro@crick.ac.uk>
Built: R 4.6.0; ; 2026-01-22 20:41:17 UTC; unix
