- Data Sets
- Training Resources
Results for: Publications
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, Davidso, 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.
MetaSRA: normalized human sample-specific metadata for the Sequence Read Archive. Bernstein M, Doan A, Dewey C. Bioinformatics, 2017.
Falcon: Scaling up hands-off crowdsourced entity matching to build cloud services. Das S, Suganthan P, Doan A, Naughton J, Krishnan G, Deep R, Arcaute E, Raghavendra V, Park Y. Proceedings of the ACM International Conference on Management of Data (SIGMOD), 2017.