Publications (Google Scholar)


denotes co-first authorship; these authors contributed equally
# denotes correspondence authorship

Design and Sample Size Determination for Multiple-dose Randomized Trials for Dose Optimization
Peng Yang, Daniel Li, Ruitao Lin, Bo Huang, Ying Yuan#.
Selected for the 2023 ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop Student Poster Award!
Statistics in Medicine. Software

SAM: Self-adapting Mixture Prior to Dynamically Borrow Information from Historical Data in Clinical Trials
Peng Yang, Yuansong Zhao, Lei Nie, Jonathon Vallejo, Ying Yuan#.
Biometrics. Software

A Novel Bayesian Model for Assessing Intratumor Heterogeneity of Tumor Infiltrating Leukocytes with Multi-region Gene Expression Sequencing
Peng Yang#, Shawna M. Hubert, P. Andrew Futreal, Xingzhi Song, Jianhua Zhang, J. Jack Lee, Ignacio Wistuba, Ying Yuan, Jianjun Zhang, and Ziyi Li#.
Selected for the 2023 ASA Section on Statistics in Genomics and Genetics (SGG) Student Paper Award!
Annals of Applied Statistics. Software

Estimation of tumor cell total mRNA expression in 15 cancer types predicts disease progression
Shaolong Cao, Jennifer R. Wang, Shuangxi Ji, Peng Yang, … & Wenyi Wang#.
Nature biotechnology.

Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype
Vahid Bahrambeigi, Jaewon J. Lee, Vittorio Branchi, Jason T. Henry, Kimal I. Rajapakshe, Bret M. Stephens, Sarah Dhebat, Mark W. Hurd, Ryan Sun, Peng Yang, Eytan Ruppin, Wenyi Wang, Scott E. Kopetz, Anirban Maitra, Paola A. Guerrero#.
Cancer Research.

[A Bayesian Adaptive Design for Avatar-Driven Cancer Clinical Trials]
Peng Yang, Yeohee Park, Ying Yuan, Suyu Liu#.
In Submission.

[Single-Cell RNA Sequencing Identifies Molecular Biomarkers Predicting Late Progression to CDK4/6 Inhibition in Metastatic HR+/HER2- Breast Cancer]
Linjie Luo, Peng Yang, Sofia Mastoraki, Xiayu Rao, Yan Wang, Nicole M. Kettner, Akshara Singareeka Raghavendra, Debasish Tripathy, Senthil Damodaran, Kelly K. Hunt, Jing Wang, Ziyi Li, Khandan Keyomarsi#.
In Submission.

Learning directed acyclic graphs for ligands and receptors based on spatially resolved transcriptomic analysis of ovarian cancer
Shrabanti Chowdhury, Sammy Ferri-Borgogno, Peng Yang, Wenyi Wang, Jie Peng, Samuel Mok, Pei Wang#.
In Submission.

[Sync Twins: Enhance treatment effect estimation for decentralized clinical trial]
Peng Yang, Ruitao Lin, Ying Yuan#.
In Preparation.

[A Bayesian Design to Adaptively Borrow Information by Incorporating Longitudinal Measurements]
Peng Yang, Ying Yuan#.
In Preparation.

[PASTA: pathway-oriented expression imputation for spatial transcriptomics data]
Ruoxing Li, Peng Yang, Lulu Shang, Ziyi Li#.
In Preparation.

[Exocrine Pancreatic Dysfunction in Chronic Pancreatitis: Analysis of the PROCEED Study]
Mitchell L. Ramsey, Dhiraj Yadav, Peng Yang, Liang Li, Melena Bellin, William E. Fisher, Evan L. Fogel, Christopher E. Forsmark, Phil A Hart, Walter Park, Stephen J. Pandol, Jose Serrano, Temel Tirkes, Mark Topazian, Stephen Van Den Eeden, Santhi Swaroop Vege, Darwin L. Conwell.
In Preparation.

Book Chapter

Transcriptome data analysis: Methods in Molecular Biology
Ziyi Li#, Peng Yang.
Humana Press.