Knowledge-based Bayesian network for the classification of Mycobacterium tuberculosis complex sublineages


We develop a novel knowledge-based Bayesian network (KBBN) that models our knowledge of the <i>Mycobacterium tuberculosis</i> complex (MTBC) obtained from expert-defined rules and large DNA fingerprint databases to classify strains of MTBC into fifty-one genetic sublineages. The model uses two high-throughput biomarkers: spacer oligonucleotide types… (More)
DOI: 10.1145/2147805.2147827


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