Determination of cluster number in clustering microarray data. - Judong Shen; Shing I. Chang; E. Stanley Lee; Youping Deng; Susan J. Brown (Appl. Math. Comput., 2005)

Support vector fuzzy adaptive network in regression analysis. - Judong Shen; Yu-Ru Syau; E. Stanley Lee (Comput. Math. Appl., 2007)

Multi-Population Classical HLA Type Imputation. - Alexander T. Dilthey; Stephen Leslie; Loukas Moutsianas; Judong Shen; Charles Cox; Matthew R. Nelson; Gil McVean (PLoS Comput. Biol., 2013)

STOPGAP: a database for systematic target opportunity assessment by genetic association predictions. - Judong Shen; Kijoung Song; Andrew J. Slater; Enrico Ferrero; Matthew R. Nelson (Bioinform., 2017)

A Random Interaction Forest for Prioritizing Predictive Biomarkers. - Zhen Zeng; Yuefeng Lu; Judong Shen; Wei Zheng; Peter Shaw 005; Mary Beth Dorr (CoRR, 2019)

Composite Kernel Association Test (CKAT) for SNP-set joint assessment of genotype and genotype-by-treatment interaction in Pharmacogenetics studies. - Hong Zhang 038; Ni Zhao; Devan V. Mehrotra; Judong Shen (Bioinform., 2020)

A Fast and Accurate Approximation to the Distributions of Quadratic Forms of Gaussian Variables. - Hong Zhang 038; Judong Shen; Zheyang Wu (J. Comput. Graph. Stat., 2022)

A fast and powerful linear mixed model approach for genotype-environment interaction tests in large-scale GWAS. - Wujuan Zhong; Aparna Chhibber; Lan Luo; Devan V. Mehrotra; Judong Shen (Briefings Bioinform., 2023)

Robust genetic model-based SNP-set association test using CauchyGM. - Yeonil Kim; Yueh-Yun Chi; Judong Shen; Fei Zou (Bioinform., 2023)

AWOT and CWOT for genotype and genotype-by-treatment interaction joint analysis in pharmacogenetics GWAS. - Hong Zhang 038; Devan V. Mehrotra; Judong Shen (Bioinform., 2023)

Integrating multiple traits for improving polygenic risk prediction in disease and pharmacogenomics GWAS. - Song Zhai; Bin Guo 004; Baolin Wu; Devan V. Mehrotra; Judong Shen (Briefings Bioinform., 2023)

Applying polygenic risk score methods to pharmacogenomics GWAS: challenges and opportunities. - Song Zhai; Devan V. Mehrotra; Judong Shen (Briefings Bioinform., 2024)

A novel machine learning based framework for developing composite digital biomarkers of disease progression. - Song Zhai; Andy Liaw; Judong Shen; Yuting Xu; Vladimir Svetnik; James J. Fitzgerald; Chrystalina A. Antoniades; Dan Holder; Marissa F. Dockendorf; Jie Ren; Richard Baumgartner (Frontiers Digit. Health, 2024)