TransCompR
Translatable Components Regression methodology as described in: https://www.biorxiv.org/content/10.1101/776666v1
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Translatable Components Regression Methodology (https://www.biorxiv.org/content/10.1101/776666v1)
> Train PCA model on mouse data
> Project human transcriptomics data samples into mouse PCA model
> Regress human positions in mouse PCA space against human phenotypes/classes to identify mouse PCs and encoded biology predictive of human phenotypes/classes.
Cite As
Douglas Brubaker (2026). TransCompR (https://se.mathworks.com/matlabcentral/fileexchange/77987-transcompr), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.1 (1.39 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
