All Outputs (2)

Large-scale statistical analysis of Mycobacterium tuberculosis genome sequences identifies compensatory mutations associated with multi-drug resistance (2024)
Journal Article
Billow, N., Phelan, J., Xia, D., Peng, Y., Clark, T. G., & Chang, Y.-M. (in press). Large-scale statistical analysis of Mycobacterium tuberculosis genome sequences identifies compensatory mutations associated with multi-drug resistance. Scientific Reports, https://doi.org/10.1038/s41598-024-62946-8

Tuberculosis (TB), caused by Mycobacterium tuberculosis, has a significant impact on global health worldwide. The development of multi-drug strains that are resistant to the first-line drugs isoniazid and rifampicin threatens public health security.... Read More about Large-scale statistical analysis of Mycobacterium tuberculosis genome sequences identifies compensatory mutations associated with multi-drug resistance.

Feature Weighted Models (FWM) to address lineage dependency in drug-resistance prediction from Mycobacterium tuberculosis genome sequences (2023)
Journal Article
Chang, Y.-M., Xia, D., & Billows, N. (2023). Feature Weighted Models (FWM) to address lineage dependency in drug-resistance prediction from Mycobacterium tuberculosis genome sequences. Bioinformatics, 39(7), https://doi.org/10.1093/bioinformatics/btad428

Background: Tuberculosis is caused by members of the Mycobacterium tuberculosis complex (MTBC) and is the second leading infectious killer after COVID-19. The evolution of drug-resistance poses a threat to successful treatment and disease eradication... Read More about Feature Weighted Models (FWM) to address lineage dependency in drug-resistance prediction from Mycobacterium tuberculosis genome sequences.