Sublineage structure analysis of Mycobacterium tuberculosis complex strains using multiple-biomarker tensors.

ABSTRACT:

Background

Strains of Mycobacterium tuberculosis complex (MTBC) can be classified into major lineages based on their genotype. Further subdivision of major lineages into sublineages requires multiple biomarkers along with methods to combine and analyze multiple sources of information in one unsupervised learning model. Typically, spacer oligonucleotide type (spoligotype) and mycobacterial interspersed repetitive units (MIRU) are used for TB genotyping and surveillance. Here, we examine the sublineage structure of MTBC strains with multiple biomarkers simultaneously, by employing a tensor clustering framework (TCF) on multiple-biomarker tensors.

Results

Simultaneous analysis of the spoligotype and MIRU type of strains using TCF on multiple-biomarker tensors leads to coherent

SUBMITTER: Ozcaglar C 

PROVIDER: S-EPMC3194230 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature