Using GWAS and Machine Learning to Identify and Predict Genetic Variants Associated with Foodborne Bacteria Phenotypic Traits.
Using GWAS and Machine Learning to Identify and Predict Genetic Variants Associated with Foodborne Bacteria Phenotypic Traits.
Landry Tsoumtsa Meda,Jean Lagarde,2 Authors,P. Douarre
DOI: 10.1007/978-1-0716-4100-2_16
2 Citations
TLDR
This chapter review is to provide knowledge on the use of genome-wide association and machine learning methods in food microbiology and to recommend their use in the field.