A collective ranking method for genome-wide association studies. - Jie Liu 006; Elizabeth S. Burnside; Humberto J. Vidaillet; David Page (BCB, 2012)

Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. - Jie Liu 006; Chunming Zhang; Catherine A. McCarty; Peggy L. Peissig; Elizabeth S. Burnside; David Page (UAI, 2012)

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields. - Jie Liu 006; Chunming Zhang; Catherine A. McCarty; Peggy L. Peissig; Elizabeth S. Burnside; David Page (AISTATS, 2012)

Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. - Jie Liu 006; David Page; Houssam Nassif; Jude W. Shavlik; Peggy L. Peissig; Catherine A. McCarty; Adedayo A. Onitilo; Elizabeth S. Burnside (AMIA, 2013)

Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models. - Jie Liu 006; David Page (NIPS, 2013)

Learning Heterogeneous Hidden Markov Random Fields. - Jie Liu 006; Chunming Zhang; Elizabeth S. Burnside; David Page (AISTATS, 2014)

Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction. - Yirong Wu; Jie Liu 006; David Page; Peggy L. Peissig; Catherine A. McCarty; Adedayo A. Onitilo; Elizabeth S. Burnside (AMIA, 2014)

Multiple Testing under Dependence via Semiparametric Graphical Models. - Jie Liu 006; Chunming Zhang; Elizabeth S. Burnside; David Page (ICML, 2014)

Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution. - Jeremy C. Weiss; Finn Kuusisto; Kendrick Boyd; Jie Liu 006; David Page (AMIA, 2015)

Discriminatory power of common genetic variants in personalized breast cancer diagnosis. - Yirong Wu; Craig K. Abbey; Jie Liu 006; Irene M. Ong; Peggy L. Peissig; Adedayo A. Onitilo; Jun Fan; Ming Yuan 001; Elizabeth S. Burnside (Image Perception, Observer Performance, and Technology Assessment, 2016)

Structure-Leveraged Methods in Breast Cancer Risk Prediction. - Jun Fan; Yirong Wu; Ming Yuan 001; David Page; Jie Liu 006; Irene M. Ong; Peggy L. Peissig; Elizabeth S. Burnside (J. Mach. Learn. Res., 2016)

Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants. - Shara Feld; Kaitlin M. Woo; Roxana Alexandridis; Yirong Wu; Jie Liu 006; Peggy L. Peissig; Adedayo A. Onitilo; Jennifer Cox; David Page; Elizabeth S. Burnside (AMIA, 2018)

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. - Sinong Geng; Zhaobin Kuang; Jie Liu 006; Stephen J. Wright 001; David Page (UAI, 2018)