Implementation of Combat harmonization method with scikit-learn compatible format
-
Updated
Oct 16, 2019 - Python
Implementation of Combat harmonization method with scikit-learn compatible format
Example dataset for neuroCombat in R
A comprehensive pipeline for the analysis of dynamic contrast-enhanced MRI (DCE-MRI) data from the MAMA-MIA public dataset. Includes biomarker extraction, pseudo-color map generation, and multicenter signal harmonization using ComBat. Developed for educational purposes at the Hellenic Mediterranean University by Kalaitzakis Nikolaos.
Add a description, image, and links to the neurocombat topic page so that developers can more easily learn about it.
To associate your repository with the neurocombat topic, visit your repo's landing page and select "manage topics."