TreeDimensionTest: Trajectory Presence and Heterogeneity in Multivariate Data
Testing for trajectory presence and heterogeneity on multivariate data. Two statistical methods (Tenha & Song 2022) <doi:10.1371/journal.pcbi.1009829> are implemented. The tree dimension test quantifies the statistical evidence for trajectory presence. The subset specificity measure summarizes pattern heterogeneity using the minimum subtree cover. There is no user tunable parameters for either method. Examples are included to illustrate how to use the methods on single-cell data for studying gene and pathway expression dynamics and pathway expression specificity.
| Version: | 0.0.2 |
| Depends: | mlpack |
| Imports: | fitdistrplus,igraph,nFactors,Rcpp (≥ 1.0.2),RColorBrewer,Rdpack |
| LinkingTo: | Rcpp |
| Suggests: | knitr,rmarkdown,testthat |
| Published: | 2022-03-12 |
| DOI: | 10.32614/CRAN.package.TreeDimensionTest |
| Author: | Lovemore Tenha [aut], Joe Song [aut, cre] |
| Maintainer: | Joe Song <joemsong at cs.nmsu.edu> |
| License: | LGPL (≥ 3) |
| NeedsCompilation: | yes |
| Citation: | TreeDimensionTest citation info |
| Materials: | README,NEWS |
| CRAN checks: | TreeDimensionTest results |
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