Amina Shabbeer

Summary

Affiliation: Rensselaer Polytechnic Institute
Country: USA

Publications

  1. doi Web tools for molecular epidemiology of tuberculosis
    Amina Shabbeer
    Department of Mathematical Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
    Infect Genet Evol 12:767-81. 2012
  2. doi TB-Lineage: an online tool for classification and analysis of strains of Mycobacterium tuberculosis complex
    Amina Shabbeer
    Computer Science Dept, Rensselaer Polytechnic Institute, Troy, NY, USA
    Infect Genet Evol 12:789-97. 2012
  3. pmc Sublineage structure analysis of Mycobacterium tuberculosis complex strains using multiple-biomarker tensors
    Cagri Ozcaglar
    Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA
    BMC Genomics 12:S1. 2011
  4. doi Inferred spoligoforest topology unravels spatially bimodal distribution of mutations in the DR region
    Cagri Ozcaglar
    Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
    IEEE Trans Nanobioscience 11:191-202. 2012
  5. pmc A conformal Bayesian network for classification of Mycobacterium tuberculosis complex lineages
    Minoo Aminian
    Departments of Mathematical Science and Computer Science, Rensselaer Polytechnic Institute, Troy, New York, USA
    BMC Bioinformatics 11:S4. 2010
  6. pmc Epidemiological models of Mycobacterium tuberculosis complex infections
    Cagri Ozcaglar
    Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA
    Math Biosci 236:77-96. 2012
  7. pmc Predicting Mycobacterium tuberculosis complex clades using knowledge-based Bayesian networks
    Minoo Aminian
    Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
    Biomed Res Int 2014:398484. 2014

Detail Information

Publications7

  1. doi Web tools for molecular epidemiology of tuberculosis
    Amina Shabbeer
    Department of Mathematical Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
    Infect Genet Evol 12:767-81. 2012
    ..They provide an integrated platform for researchers to use molecular epidemiological data to address current challenges in the understanding of TB dynamics and the characteristics of MTBC...
  2. doi TB-Lineage: an online tool for classification and analysis of strains of Mycobacterium tuberculosis complex
    Amina Shabbeer
    Computer Science Dept, Rensselaer Polytechnic Institute, Troy, NY, USA
    Infect Genet Evol 12:789-97. 2012
    ..This online rule-based classification technique in conjunction with genotype visualization provides a practical tool that supports surveillance of TB transmission trends and molecular epidemiological studies...
  3. pmc Sublineage structure analysis of Mycobacterium tuberculosis complex strains using multiple-biomarker tensors
    Cagri Ozcaglar
    Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA
    BMC Genomics 12:S1. 2011
    ..Here, we examine the sublineage structure of MTBC strains with multiple biomarkers simultaneously, by employing a tensor clustering framework (TCF) on multiple-biomarker tensors...
  4. doi Inferred spoligoforest topology unravels spatially bimodal distribution of mutations in the DR region
    Cagri Ozcaglar
    Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
    IEEE Trans Nanobioscience 11:191-202. 2012
    ..We also apply SPM and LBM to a dataset from Institut Pasteur de Guadeloupe and verify that these models hold for different strain datasets...
  5. pmc A conformal Bayesian network for classification of Mycobacterium tuberculosis complex lineages
    Minoo Aminian
    Departments of Mathematical Science and Computer Science, Rensselaer Polytechnic Institute, Troy, New York, USA
    BMC Bioinformatics 11:S4. 2010
    ..DNA fingerprinting methods such as MIRU and spoligotyping are key components in the control and tracking of modern TB...
  6. pmc Epidemiological models of Mycobacterium tuberculosis complex infections
    Cagri Ozcaglar
    Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, USA
    Math Biosci 236:77-96. 2012
    ..The inferences from the models are justified by case studies and statistical analysis of TB patient datasets...
  7. pmc Predicting Mycobacterium tuberculosis complex clades using knowledge-based Bayesian networks
    Minoo Aminian
    Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
    Biomed Res Int 2014:398484. 2014
    ..Results show that incorporating rules into problems can drastically increase classification accuracy if data alone are insufficient. The SITVIT KBBN is publicly available for use on the World Wide Web. ..