Predicting fitness in Mycobacterium tuberculosis with transcriptional regulatory network-informed interpretable machine learning

Abstract excerpt

Introduction: (Mtb) is the causative agent of tuberculosis disease, the greatest source of global mortality by a bacterial pathogen. Mtb adapts and responds to diverse stresses, such as antibiotics, by inducing transcriptional stress response regulatory programs. Understanding how and when mycobacterial regulatory programs are activated could inform novel treatment strategies that hinder stress adaptation and...

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• Bacterial Genetics and Biotechnology
• Machine Learning in Bioinformatics
• Tuberculosis Research and Epidemiology