TransCompR

Translatable Components Regression methodology as described in: https://www.biorxiv.org/content/10.1101/776666v1
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Updated 10 Jul 2020

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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 (2024). TransCompR (https://www.mathworks.com/matlabcentral/fileexchange/77987-transcompr), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.1

Description Update

1.0.0