Bioinfomatics-Biostatistics Journal Club and Research Seminar : Source prediction of food-borne infections using machine learning approaches


Bioinfomatics-Biostatistics Journal Club and Research Seminar : Source prediction of food-borne infections using machine learning approaches

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February 25, 2020 - 11:00 - 12:00
Team: Events, Training & News
Posted on January 21, 2020

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Bioinfomatics-Biostatistics Journal Club and Research Seminar : Source prediction of food-borne infections using machine learning approaches

Team: Events, Training & News

February 25, 2020 - 11:00 - 12:00

Description


Source prediction of food-borne infections using machine learning approaches

February 25, 2020
11:00 am - 12:00 pm
Klaus Wrogemann Seminar Room 341 Basic Medical Sciences Building

DISCUSSION LEAD

Chih-Yu Chen
Data Scientist, National Microbiology Laboratory

OBJECTIVE

We will discuss the machine learning applications to predict the source of food-borne infections and the discrepancy in conclusions drawn from two studies due to data set design.

READINGS

Wheeler, Nicole E. “Tracing Outbreaks with Machine Learning.” Nature Reviews Microbiology, vol. 17, no. 5, Springer US, 2019, p. 269, doi:10.1038/s41579-019-0153-1.

Zhang, Shaokang, et al. “Zoonotic Source Attribution of Salmonella Enterica Serotype Typhimurium Using Genomic Surveillance Data, United States.” Emerging Infectious Diseases, vol. 25, no. 1, 2019, pp. 82–91, doi:10.3201/eid2501.180835.

Lupolova, Nadejda, et al. “Patchy Promiscuity: Machine Learning Applied to Predict the Host Specificity of Salmonella Enterica and Escherichia Coli.” Microbial Genomics, vol. 3, no. 10, Microbiology Society, Oct. 2017, p. e000135, doi:10.1099/mgen.0.000135.


Bioinformatics-Biostatistics Journal Club and Research Seminar Series is hosted by the Data Science Platform at the George & Fay Yee Centre for Healthcare Innovation. It aims to stimulate discussion of computational and statistical method developments and applications for complex health data in translational and personalized medicine. All students, faculty, and staff are welcome to join this monthly event. All previous talks can be found at http://www.hu-bioinformaticslab.org/journal-club.html

For more information, contact Dr. Pingzhao Hu at pingzhao.hu@umanitoba.ca or Dr. Robert Balshaw at Robert.Balshaw@umanitoba.ca.

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