Identifying patterns differing between high-dimensional datasets with generalized contrastive PCA
Eliezyer Fermino de Oliveira, Pranjal Garg, Jens Hjerling‐Leffler, Renata Batista‐Brito, Lucas Sjulson
This paper introduces gcPCA, a hyperparameter-free method for comparing high-dimensional datasets, demonstrating its utility in detecting hippocampal replay and type II diabetes heterogeneity.
PLoS Computational Biology · Feb 7, 2025Peer-reviewedNeuroscience