Development and evaluation of statistical and Artificial Intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production
K. L. Beck, N. Haiminen, A. Agarwal, A.-P. Carrieri, M. Madgwick, J. Kelly, V. Pylro, B. Kawas, M. Wiedmann, E. Ganda
This study evaluates AI and statistical methods on microbial shotgun metagenomics data to detect anomalies in fluid milk, showing explainable AI can classify anomalous samples and identify microbial drivers.
bioRxiv · Aug 16, 2022Microbiology