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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 |
Maintainer: | Joe Song <joemsong at cs.nmsu.edu> |
License: | LGPL (≥ 3) |
NeedsCompilation: | yes |
Citation: | TreeDimensionTest citation info |
Materials: | README NEWS |
CRAN checks: | TreeDimensionTest results |
Reference manual: | TreeDimensionTest.pdf |
Vignettes: |
Tutorial: Using the 'TreeDimensionTest' package |
Package source: | TreeDimensionTest_0.0.2.tar.gz |
Windows binaries: | r-devel: TreeDimensionTest_0.0.2.zip, r-release: TreeDimensionTest_0.0.2.zip, r-oldrel: TreeDimensionTest_0.0.2.zip |
macOS binaries: | r-release (arm64): TreeDimensionTest_0.0.2.tgz, r-oldrel (arm64): TreeDimensionTest_0.0.2.tgz, r-release (x86_64): TreeDimensionTest_0.0.2.tgz, r-oldrel (x86_64): TreeDimensionTest_0.0.2.tgz |
Old sources: | TreeDimensionTest archive |
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