Article
Exploring the predictive capability of advanced machine learning in identifying severe disease phenotype in Salmonella enterica.
Food research international (Ottawa, Ont.) - 1 Jan 2022
Karanth Shraddha, Tanui Collins K, Meng Jianghong, Pradhan Abani K
Abstract excerpt
The past few years have seen a significant increase in availability of whole genome sequencing information, allowing for its incorporation in predictive modeling for foodborne pathogens to account for inter- and intra-species differences in their virulence. However, this is hindered by the inability of traditional statistical methods to analyze such large amounts of data compared to the number of...
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