Article

Biological machine learning combined with bacterial population genomics reveals common and rare allelic variants of genes to cause disease

2019-08-20

Abstract excerpt

Highly dimensional data generated from bacterial whole genome sequencing is providing unprecedented scale of information that requires appropriate statistical frameworks of analysis to infer biological function from bacterial genomic populations. Application of genome wide association study (GWAS) methods is an emerging approach with bacterial population genomics that yields a list of genes associated with a pheno...

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Literature Corpus work: dfecbb43-34e9-5147-87aa-cf6eb9bff563
DOI: 10.1101/739540

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