Lifting the curse from high dimensional data: Automated projection pursuit clustering for the variety of biological data modalities
Claire M. Simpson, Evgeniy Tabatsky, Zainab Rahil, Devon James Eddins, Sasha L. Tkachev, Florian Georgescauld, Derek Papalegis, Martin Culka, Tyler M. Levy, Ivan V. Gregoretti, Connor Meehan, C. Schiller, Kresimir Bestak, Denis Schapiro, Andrei V. Chernyshev, , Darya Yu. Orlova
The paper introduces APP, a clustering method that reduces high-dimensional biological data to lower dimensions to improve clustering performance across multiple data types.
GigaScience · Jan 1, 2025Peer-reviewedBioinformatics