mTCTScan: a comprehensive platform for annotation and prioritization of mutations affecting drug sensitivity in cancers. - Mulin Jun Li; Hongcheng Yao; Dandan Huang; Huanhuan Liu; Zipeng Liu; Hang Xu; Yiming Qin; Jeanette Prinz; Weiyi Xia; Panwen Wang; Bin Yan; Nhan L. Tran; et al. (Nucleic Acids Res., 2017)

MetaMarker: a pipeline for de novo discovery of novel metagenomic biomarkers. - Mohamad Koohi-Moghadam; Mitesh J. Borad; Nhan L. Tran; Kristin R. Swanson; Lisa Boardman; Hong-Zhe Su; Junwen Wang (Bioinform., 2019)

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. - Lujia Wang 002; Hairong Wang; Fulvio D'Angelo; Lee Curtin; Christopher P. Sereduk; Gustavo De Leon; Kyle W. Singleton; Javier Urcuyo; Andrea Hawkins-Daarud; Pamela R. Jackson; Chandan Krishna; Richard S. Zimmerman; et al. (CoRR, 2024)

Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma. - Hairong Wang; Michael G. Argenziano; Hyunsoo Yoon; Deborah Boyett; Akshay Save; Petros Petridis; William Savage; Pamela R. Jackson; Andrea Hawkins-Daarud; Nhan L. Tran; Leland S. Hu; Kyle W. Singleton; et al. (npj Digit. Medicine, 2024)

Weakly-Supervised Transfer Learning With Application in Precision Medicine. - Lingchao Mao; Lujia Wang 002; Leland S. Hu; Jenny M. Eschbacher; Gustavo De Leon; Kyle W. Singleton; Lee Curtin; Javier Urcuyo; Christopher P. Sereduk; Nhan L. Tran; Andrea Hawkins-Daarud; Kristin R. Swanson; et al. (IEEE Trans Autom. Sci. Eng., 2024)

Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review. - Lingchao Mao; Hairong Wang; Leland S. Hu; Nhan L. Tran; Peter D. Canoll; Kristin R. Swanson; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)