Interpretable dimensionality reduction and classification of mass spectrometry imaging data in a visceral pain model via non-negative matrix factorization
Kasun Pathirage, Aman Virmani, Alison J. Scott, Richard J. Traub, Robert K. Ernst, Reza Ghodssi A, Behtash Babadi, Pamela Abshire
This paper applies non-negative matrix factorization to reduce and classify mass spectrometry imaging data in a visceral pain model, achieving high accuracy in distinguishing pain conditions.
PLoS ONE · Oct 10, 2024Peer-reviewedBioinformatics