Performance of random forest when SNPs are in linkage disequilibrium. - Yan A. Meng; Yi Yu; L. Adrienne Cupples; Lindsay A. Farrer; Kathryn L. Lunetta (BMC Bioinform., 2009)

Evaluation of logistic regression models and effect of covariates for case-control study in RNA-Seq analysis. - Seung Hoan Choi; Adam Labadorf; Richard H. Myers; Kathryn L. Lunetta; Josée Dupuis; Anita L. DeStefano (BMC Bioinform., 2017)

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)

ONDSA: a testing framework based on Gaussian graphical models for differential and similarity analysis of multiple omics networks. - Jiachen Chen; Joanne M. Murabito; Kathryn L. Lunetta (Briefings Bioinform., 2024)

Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification. - Jiachen Chen; Danyang Huang; Liyuan Wang; Kathryn L. Lunetta; Debarghya Mukherjee; Huimin Cheng (CoRR, 2024)

A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. - Xihao Li; Han Chen; Margaret Sunitha Selvaraj; Eric Van Buren; Hufeng Zhou; Yuxuan Wang 008; Ryan Sun; Zachary R. McCaw; Zhi Yu; Min-Zhi Jiang; Daniel DiCorpo; Sheila M. Gaynor; et al. (Nat. Comput. Sci., 2025)

Transfer Learning Under High-Dimensional Network Convolutional Regression Model. - Liyuan Wang; Jiachen Chen; Kathryn L. Lunetta; Danyang Huang; Huimin Cheng; Debarghya Mukherjee (CoRR, 2025)