Exploring High-Dimensional Biological Data with Sparse Contrastive Principal Component Analysis
Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit
This paper introduces sparse contrastive principal component analysis to extract stable and relevant biological signals from high-dimensional data and evaluates it on multiple datasets.
Bioinformatics · Mar 10, 2020Peer-reviewedGenomics