Nhan L. Tran

According to our database, Nhan L. Tran authored at least 4 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

CoRR, 2024

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.

Lujia Wang, 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, Devi P. Patra, Bernard R. Bendok, Kris A. Smith, Peter Nakaji, Kliment Donev, Leslie C. Baxter, Maciej M. Mrugala, Michele Ceccarelli, Antonio Iavarone, Kristin R. Swanson, Nhan L. Tran, Leland S. Hu, Jing Li

CoRR, 2024

2019

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

2017

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, Jean-Pierre A. Kocher, Pak Chung Sham, Junwen Wang

Nucleic Acids Res., 2017