santaR
Short Asynchronous Time-Series Analysis
A graphical and automated pipeline for the analysis of short time-series in R ('santaR'). This approach is designed to accommodate asynchronous time sampling (i.e. different time points for different individuals), inter-individual variability, noisy measurements and large numbers of variables. Based on a smoothing splines functional model, 'santaR' is able to detect variables highlighting significantly different temporal trajectories between study groups. Designed initially for metabolic phenotyping, 'santaR' is also suited for other Systems Biology disciplines. Command line and graphical analysis (via a 'shiny' application) enable fast and parallel automated analysis and reporting, intuitive visualisation and comprehensive plotting options for non-specialist users.
- Version1.2.4
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release03/07/2024
Documentation
- VignetteAdvanced command line functions
- VignetteAutomated command line analysis
- VignetteGetting Started with the santaR package
- VignettePlotting options
- VignetteHow to prepare input data for santaR
- VignetteSelecting an optimal number of degrees of freedom
- VignettesantaR Theoretical Background
- VignettesantaR: Graphical user interface
- MaterialREADME
- MaterialNEWS
Team
Arnaud Wolfer
Joe Cheng
Show author detailsRolesContributorTimothy Ebbels
Show author detailsRolesContributor
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- Imports10 packages
- Suggests5 packages