Identification of relevant phytochemical constituents for characterization and authentication of tomatoes by General Linear Model linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)

  1. Suárez, M.H.
  2. Dopazo, G.A.
  3. López, D.L.
  4. Espinosa, F.
Zeitschrift:
PLoS ONE

ISSN: 1932-6203

Datum der Publikation: 2015

Ausgabe: 10

Nummer: 6

Art: Artikel

DOI: 10.1371/JOURNAL.PONE.0128566 GOOGLE SCHOLAR lock_openOpen Access editor