Machine Learning-Based Classification of Tuberculosis Using Whole-Blood Gene Expression Profiles: A Multi Cohort Transcriptomic Study with SHAP-Based Interpretability
Background: Tuberculosis diagnosis remains a practical challenge in high-burden settings, where available tests have well-known limitations around sensitivity, cost, and turnaround time. Whole blood gene expression profiling offers a non-sputum-based alternative approach, but…...
10.5281/zenodo.21860321