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Items: 7

1.

Predicting Mycobacterium tuberculosis complex clades using knowledge-based Bayesian networks.

Aminian M, Couvin D, Shabbeer A, Hadley K, Vandenberg S, Rastogi N, Bennett KP.

Biomed Res Int. 2014;2014:398484. doi: 10.1155/2014/398484. Epub 2014 Apr 23.

2.

Epidemiological models of Mycobacterium tuberculosis complex infections.

Ozcaglar C, Shabbeer A, Vandenberg SL, Yener B, Bennett KP.

Math Biosci. 2012 Apr;236(2):77-96. doi: 10.1016/j.mbs.2012.02.003. Epub 2012 Mar 1. Review.

3.

Data-driven insights into deletions of Mycobacterium tuberculosis complex chromosomal DR region using spoligoforests.

Ozcaglar C, Shabbeer A, Kurepina N, Yener B, Bennett KP.

Proceedings (IEEE Int Conf Bioinformatics Biomed). 2011:75-82.

4.

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

Ozcaglar C, Shabbeer A, Vandenberg S, Yener B, Bennett KP.

BMC Genomics. 2011;12 Suppl 2:S1. doi: 10.1186/1471-2164-12-S2-S1. Epub 2011 Jul 27.

5.

Determination of Major Lineages of Mycobacterium tuberculosis Complex using Mycobacterial Interspersed Repetitive Units.

Aminian M, Shabbeer A, Bennett KP.

Proceedings (IEEE Int Conf Bioinformatics Biomed). 2009 Nov 1;2009:338-343.

6.

A conformal Bayesian network for classification of Mycobacterium tuberculosis complex lineages.

Aminian M, Shabbeer A, Bennett KP.

BMC Bioinformatics. 2010 Apr 29;11 Suppl 3:S4. doi: 10.1186/1471-2105-11-S3-S4.

7.

Examining the sublineage structure of Mycobacterium tuberculosis complex strains with multiple-biomarker tensors.

Ozcaglar C, Shabbeer A, Vandenberg S, Yener B, Bennett KP.

Proceedings (IEEE Int Conf Bioinformatics Biomed). 2010:543-548.

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