A conformal Bayesian network for classification of Mycobacterium tuberculosis complex lineages
Open Access
- 29 April 2010
- journal article
- Published by Springer Science and Business Media LLC in BMC Bioinformatics
- Vol. 11 (S3), S4
- https://doi.org/10.1186/1471-2105-11-s3-s4
Abstract
We present a novel conformal Bayesian network (CBN) to classify strains of Mycobacterium tuberculosis Complex (MTBC) into six major genetic lineages based on two high-throuput biomarkers: mycobacterial interspersed repetitive units (MIRU) and spacer oligonucleotide typing (spoligotyping). MTBC is the causative agent of tuberculosis (TB), which remains one of the leading causes of disease and morbidity world-wide. DNA fingerprinting methods such as MIRU and spoligotyping are key components in the control and tracking of modern TB.Keywords
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