Genetic epidemiology, parallel algorithms, and workstation networks. - Roger D. Chamberlain; Gregory D. Peterson; Mark A. Franklin; Michael A. Province (HICSS (5), 1995)

Tree-Based Models for Fiting Stratified Linear Regression Models. - William D. Shannon; Maciej Faifer; Michael A. Province; D. C. Rao (J. Classif., 2002)

Gathering the Gold Dust: Methods for Assessing the Aggregate Impact of Small Effect Genes in Genomic Scans. - Michael A. Province; Ingrid B. Borecki (Pacific Symposium on Biocomputing, 2008)

CMDS: a population-based method for identifying recurrent DNA copy number aberrations in cancer from high-resolution data. - Qunyuan Zhang; Li Ding; David E. Larson; Daniel C. Koboldt; Michael D. McLellan; Ken Chen 001; Xiaoqi Shi; Aldi T. Kraja; Elaine R. Mardis; Richard K. Wilson; Ingrid B. Borecki; Michael A. Province (Bioinform., 2010)

Selection of models for the analysis of risk-factor trees: leveraging biological knowledge to mine large sets of risk factors with application to microbiome data. - Qunyuan Zhang; Haley Abel; Alan Wells; Petra Lenzini; Felicia Gomez; Michael A. Province; Alan A. Templeton; George M. Weinstock; Nita H. Salzman; Ingrid B. Borecki (Bioinform., 2015)

VarExp: estimating variance explained by genome-wide GxE summary statistics. - Vincent Laville; Amy R. Bentley; Florian Privé; Xiaofeng Zhu 003; Jim Gauderman; Thomas W. Winkler; Michael A. Province; D. C. Rao; Hugues Aschard (Bioinform., 2018)

A comparison of genetic imputation methods using Long Life Family Study genotypes and sequence data with the 1000 Genome reference panel. - Aldi T. Kraja; E. Warwick Daw; Petra Lenzini; Lihua Wang; Shiow J. Lin; Christine A. Williams; Alan B. Wells; Kathryn L. Lunetta; Joanne M. Murabito; Paola Sebastiani; Giuseppe Tosto; Sandra Barral; et al. (Int. J. Bioinform. Res. Appl., 2020)

Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. - Zehao Dong; Muhan Zhang; Qihang Zhao; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Tianyu Zhao; Yixin Chen 001; Fuhai Li 001 (CoRR, 2023)

Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. - Zehao Dong; Muhan Zhang; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Tianyu Zhao; Fuhai Li 001; Yixin Chen 001 (ICLR, 2024)

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. - Zehao Dong; Qihang Zhao; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Muhan Zhang; Tianyu Zhao; Yixin Chen 001; Fuhai Li 001 (CoRR, 2024)

Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning. - Haoran Song; Jiarui Feng; Guangfu Li; Michael A. Province; Philip R. O. Payne; Yixin Chen 001; Fuhai Li 001 (CoRR, 2025)

OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Joint LLM and GNN Modeling. - Heming Zhang 002; Tim Xu; Dekang Cao; Shunning Liang; Lars Schimmelpfennig; Levi Kaster; Di Huang; Carlos Cruchaga; Guangfu Li; Michael A. Province; Yixin Chen 001; Philip R. O. Payne; et al. (CoRR, 2025)