Learning to Classify Organic and Conventional Wheat - A Machine Learning Driven Approach Using the MeltDB 2.0 Metabolomics Analysis Platform.

Kessler, Nikolas; Bonte, Anja; Albaum, Stefan P; Mäder, Paul; Messmer, Monika; Goesmann, Alexander; Niehaus, Karsten; Langenkämper, Georg; Nattkemper, Tim W

Kessler, Nikolas; Bonte, Anja; Albaum, Stefan P; Mäder, Paul; Messmer, Monika; Goesmann, Alexander; Niehaus, Karsten; Langenkämper, Georg; Nattkemper, Tim W.

Afiliação

Kessler N; Biodata Mining Group, Faculty of Technology, Bielefeld University , Bielefeld , Germany ; Bioinformatics Resource Facility, Center for Biotechnology, Bielefeld University , Bielefeld , Germany.
Bonte A; Department of Safety and Quality of Cereals, Max Rubner-Institut , Detmold , Germany.
Albaum SP; Bioinformatics Resource Facility, Center for Biotechnology, Bielefeld University , Bielefeld , Germany.
Mäder P; Department of Soil Sciences, Research Institute of Organic Agriculture (FiBL) , Frick , Switzerland.
Messmer M; Department of Crop Sciences, Research Institute of Organic Agriculture (FiBL) , Frick , Switzerland.
Goesmann A; Bioinformatics and Systems Biology, Justus-Liebig-University Gießen , Gießen , Germany.
Niehaus K; Department of Proteome and Metabolome Research, Faculty of Biology, Center for Biotechnology, Bielefeld University , Bielefeld , Germany.
Langenkämper G; Department of Safety and Quality of Cereals, Max Rubner-Institut , Detmold , Germany.
Nattkemper TW; Biodata Mining Group, Faculty of Technology, Bielefeld University , Bielefeld , Germany.