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.
- Version0.0.2
- R versionunknown
- LicenseLGPL (≥ 3)
- Needs compilation?Yes
- TreeDimensionTest citation info
- Last release03/12/2022
Documentation
Team
Joe Song
Lovemore Tenha
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports6 packages
- Suggests3 packages
- Linking To1 package