Author

C X Liu

Shanghai Jiao Tong UniversityORCID 0000-0003-4883-1471Unclaimed ORCID profile · follow to get notified of new preprints

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

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H Y Wang· 1 shared Haoyue ZhuiD· 1 shared Ines I. AtmosukartoiD· 1 shared Io Hong CheongiD· 1 shared Nguyen Quoc DatiD· 1 shared Nguyen Trung Thanh· 1 shared Pengfei Zhou· 1 shared Wiku Adisasmito· 1 shared

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2026-2026 · peak 1/yr

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H Y Wang

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 3, 2026

Benchmarking the translational potential of AI-based drug-resistance prediction from Mycobacterium tuberculosis whole-genome sequencing data

C X Liu, Haoyue Zhu, Pengfei Zhou…·Yang Yang

This paper benchmarks AI-based drug-resistance prediction models for Mycobacterium tuberculosis using a large unified dataset, finding XGBoost performs best in precision-recall and F1 metrics, while neural models excel in AUROC.

DOI 10.64898/2026.07.03.736369

whole-genome sequencingmachine learning (classical)

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