OPTIMIZING PRE-PROCESSING OF NEAR INFRARED SPECTRA FOR PHENOMIC PREDICTION USING SINGULAR VALUE DECOMPOSITION
Clément Bienvenu, Jean‐Michel Roger, Mamadou Sene, Sergio Castro-Pacheco, Mathilde Singer, Bakolinirina Laurencia Felaniaina, Nancy Terrier, Fabien De Bellis, David Pot, Hugues de Verdal, Vincent Segura
This paper proposes using singular value decomposition in near infrared spectroscopy pre-processing for phenomic prediction, showing it performs as well as classical chemometrics methods with less parameter optimization.
bioRxiv · Aug 23, 2026 · PreprintGenetics