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)

Open Access

Peer-reviewed

Research Article

Marcos Hernández Suárez,

Affiliation Aula Dei Scientific Technological Park Foundation, Zaragoza, Spain
⨯
Gonzalo Astray Dopazo,

Affiliations Department of Geological Sciences, College of Arts and Sciences, Ohio University, Athens, United States of America, Department of Physical Chemistry, Faculty of Science, University of Vigo, Ourense, Spain
⨯
Dina Larios López,

Affiliation Department of Geological Sciences, College of Arts and Sciences, Ohio University, Athens, United States of America
⨯
Francisco Espinosa

* E-mail: espinosa@unex.es

Affiliation Department of Plant Physiology, Ecology and Earth Sciences, Faculty of Science, Extremadura University, Badajoz, Spain
⨯

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