EHR-based Phenotyping Project
Neuroimage-based Phenotyping Project
Epigenome-based Phenotyping Project
Transcriptome-based Phenotyping Project
Phenotype Models for Breast Cancer Screening Project
Stochastic Modeling Lab
Low-dimensional Representations Lab
Data Management Lab
Value of Information Lab
Software Engineering and High-Throughput Computing Core
Bioethics Core
Recent CPCP Publications
Opportunities and obstacles for deep learning in biology and medicine. Ching T et al.. Journal of the Royal Society Interface 15:20170387, 2018
Statistical tests and identifiability conditions for pooling and analyzing multisite datasets. Zhou HH, Singh V, Johnson SC, Wahba G, and the Alzheimer’s Disease Neuroimaging Initiative. Proceedings of the National Academy of Sciences USA, 2018
Integrative genomic analysis predicts causative cis-regulatory mechanisms of the breast cancer-associated genetic variant rs4415084. Zhang Y, Manjunath M, Zhang S, Chasman D, Roy S, Song JS. Cancer Research , 2018
Anxiety-related experience-dependent white matter structural differences in adolescence: A monozygotic twin difference approach. Adluru N, Luo Z, VanHulle CA, Schoen AJ, Davidson, RJ, Alexander AL, Goldsmith HH. Scientific Reports, 7(1): 8749, 2017
When can multi-site datasets be pooled for regression? Hypothesis tests, L2-consistency and neuroscience applications. Zhou HH, Zhang Y, Ithapu VK, Johnson SC, Wahba G, Singh V. Proceedings of the International Conference on Machine Learning (ICML), 2017
Riemannian nonlinear mixed effects models: analyzing longitudinal deformations in neuroimaging. Kim HJ, Adluru N, Suri H, Vemuri BC, Johnson SC, Singh V. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Machine learning consensus scoring improves performance across targets in structure-based virtual screening. Ericksen S, Wu H, Zhang H, Michael L, Newton M, Hoffmann FM, Wildman S. Journal of Chemical Information and Modeling 57(7):1579–1590, 2017
Pharmacovigilance via baseline regularization with large-scale longitudinal observational data. Kuang Z, Peissig P, Santos Costa V, Maclin R, Page D. Proceedings of the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017
A review of active learning approaches to experimental design for uncovering biological networks. Sverchkov Y, Craven M. PLoS Computational Biology, 2017