Tuesday, November 28, 2017

A Comparison Of Machine Learning And Bayesian Modelling For Molecular Serotyping

A Comparison Of Machine Learning And Bayesian Modelling For Molecular Serotyping

A Comparison Of Machine Learning And Bayesian Modelling For Molecular Serotyping

Background: Streptococcus pneumoniae is a human pathogen that is a major cause of infant mortality. Identifying the pneumococcal serotype is an important step in monitoring the impact of vaccines used to protect against disease. Genomic microarrays provide an effective method for molecular serotyping.
Background: Streptococcus pneumoniae is a human pathogen that is a major cause of infant mortality. Identifying the pneumococcal serotype is an important step in monitoring the impact of vaccines used to protect against disease. Genomic microarrays provide an effective method for molecular serotyping.

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