An AutoML Approach for Predicting Risk of Progression to Active Tuberculosis based on Its Association with Host Genetic Variations - researchr publication authors

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Wanying Dou, Yihang Liu, Zehai Liu, Dauren Yerezhepov, Ulan Kozhamkulov, Ainur Akilzhanova, Omar Dib, Chee-Kai Chan. An AutoML Approach for Predicting Risk of Progression to Active Tuberculosis based on Its Association with Host Genetic Variations. In ICBBS 2021: 10th International Conference on Bioinformatics and Biomedical Science, Xiamen, China, October 29 - 31, 2021. pages 82-88, ACM, 2021. [doi]

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