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

We present results of our machine learning approach to the problem of classifying GC-MS data originating from wheat grains of different farming systems. The aim is to investigate the potential of learning algorithms to classify GC-MS data to be either from conventionally grown or from organically gr...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Front Bioeng Biotechnol
Main Authors: Kessler, Nikolas, Bonte, Anja, Albaum, Stefan P., Mäder, Paul, Messmer, Monika, Goesmann, Alexander, Niehaus, Karsten, Langenkämper, Georg, Nattkemper, Tim W.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2015
Assuntos:
Bioengineering and Biotechnology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4371749/
https://ncbi.nlm.nih.gov/pubmed/25853128
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fbioe.2015.00035
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados