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Journal of Biopharmaceutical Statistics|June 18, 2024
Drug safety assessment by machine learning modelsNan Miles Xi, Dalong Patrick HuangJournal of Biopharmaceutical Statistics|June 30, 2022
Statistical learning in preclinical drug proarrhythmic assessmentNan Miles Xi, Yu-Yi Hsu, Qianyu Dang, et al.Quantitative Biology (Beijing, China)|February 12, 2026
Tuning hyperparameters of doublet-detection methods for single-cell RNA sequencing dataNan Miles Xi, Angelos VasilopoulosComputational and Structural Biotechnology Journal|September 6, 2023
Exploring the optimization of autoencoder design for imputing single-cell RNA sequencing dataNan Miles Xi, Jingyi Jessica LiCell Systems|December 18, 2020
Benchmarking Computational Doublet-Detection Methods for Single-Cell RNA Sequencing DataNan Miles Xi, Jingyi Jessica LiSTAR Protocols|August 12, 2021
Protocol for executing and benchmarking eight computational doublet-detection methods in single-cell RNA sequencing data analysisNan Miles Xi, Jingyi Jessica LiJournal of Biopharmaceutical Statistics|September 3, 2020
Baseline selection in concentration-QTc modeling: impact on assay sensitivityDalong Patrick Huang, Janell Chen, Yi TsongScientific Reports|July 1, 2022
Improving the diagnosis of thyroid cancer by machine learning and clinical dataNan Miles Xi, Lin Wang, Chuanjia YangPLOS Digital Health|February 12, 2026
Leveraging large language models for rare disease named entity recognitionNan Miles Xi, Yu Deng, Lin WangPharmaceutical Statistics|June 30, 2018
Evaluation of dependent variable, time effect, covariates, and covariation structure in concentration-QTc modeling: A simulation studyDalong Patrick Huang, Shan Xiao, Qianyu Dang, et al.Pageof 2