Omics Multivariate Adaptive Splines Analysis
Identify differential behavior in your dynamic omics data with a multivariate adaptive splines analysis.
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- Builds predictive MARS models for each analyte, computes model performance, and estimates significance via permutation testing.
- Inputs and outputs are compatible with the averaging app, clustering app, Dynamic Volcano Plotting App, Dynamic Ratio vs Intensity App, and DPoP.
- Packaged as an installable Matlab App (.mlappinstall), or as a developable app file (.mlapp).
- Data from another omics type is not a problem. Includes example transcriptomic data.
- Control minimum statistical significance.
Citar como
Jessica Slaughter (2026). Omics Multivariate Adaptive Splines Analysis (https://la.mathworks.com/matlabcentral/fileexchange/183350-omics-multivariate-adaptive-splines-analysis), MATLAB Central File Exchange. Recuperado .
This work is part of a collaboration with the following people and institutions: Harley Edwards, Joseph Zavorskas, Walker Huso, Alexander G. Doan, Steven Harris, Ranjan Srivastava, Mark R. Marten, UMBC, UConn, IowaState.
This material is based upon work supported by the National Science Foundation under Grant No. 2006189. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Información general
- Versión 1.0 (7,01 MB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
| Versión | Publicado | Notas de la versión | Action |
|---|---|---|---|
| 1.0 |
