Initial release – consensus clustering pipeline for transcriptomic remodeling in AD models

This release corresponds to the first public version of the repository used for consensus clustering and feature selection on transcriptomic data related to hyperactivity in Alzheimer's disease models.

Main components:

• Jupyter notebook clustering_AD.ipynb
• Threshold-based and p-value-based gene filtering
• Clustermaps and consensus matrices
• Rank estimation outputs in /results/

This analysis was developed for the study:

Chronic optogenetic activation of hippocampal CA1 neurons triggers Alzheimer's disease-like proteomic remodeling Iason Keramidis, Martina Samiotaki, Romain Sansonetti, Johanna Alonso, Patrick Desrosiers, Katerina Papanikolopoulou, Yves De Koninck,
iScience, 2025