Package: TrajectoryGeometry
Title: This Package Discovers Directionality in Time and Pseudo-times
        Series of Gene Expression Patterns
Version: 1.4.0
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: 7.1.1
Imports: pracma, rgl, ggplot2, stats, methods
Depends: R (>= 4.1)
Suggests: dplyr, knitr, RColorBrewer, rmarkdown
VignetteBuilder: knitr
biocViews: BiologicalQuestion, StatisticalMethod, GeneExpression,
        SingleCell
git_url: https://git.bioconductor.org/packages/TrajectoryGeometry
git_branch: RELEASE_3_15
git_last_commit: 1ec0987
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-27 01:40:12 UTC; biocbuild
Author: Michael Shapiro [aut, cre] (<https://orcid.org/0000-0002-2769-9320>)
Maintainer: Michael Shapiro <michael.shapiro@crick.ac.uk>
Built: R 4.2.0; ; 2022-04-27 10:13:27 UTC; windows
