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Privacy-preserving ridge regression with only linearly-homomorphic encryption. Giacomelli I , Jha S, Joye M, Page CD, Yoon K. Proceedings of Applied Cryptography & Network Security (ACNS), 2018.

Opportunities and obstacles for deep learning in biology and medicine. Ching T et al. Journal of the Royal Society Interface 15:20170387, 2018.

MatchCatcher: A debugger for blocking in entity matching. Li H, Konda P, Suganthan P, Doan A, Snyder B, Park Y, Krishnan G, Deep R, Raghavendra V. Proceedings of International Conference on Extending Database Technology (EDBT), 2018.

Utility of genetic testing in addition to mammography for determining risk of breast cancer depends on patient age. Feld S, Fan J, Yuan M, Wu Y, Woo K, Alexandridis R, Burnside E. Proceedings of the AMIA Informatics Summit, 2018.

Using machine learning algorithms to predict risk for development of calciphylaxis in patients with chronic kidney disease. Kleiman R, LaRose E, Badger J, Page D, Caldwell M, Clay J, Peissig P. Proceedings of the AMIA Informatics Summit, 2018.

Quantifying predictive capability of electronic health records for the most harmful breast cancer. Wu Y, Fan J, Peissig P, Berg R, Tafti P, Yin J, Yuan M, Page D, Cox J, Burnside E. Proceedings of SPIE Medical Imaging, 2018.

Applying family analyses to electronic health records to facilitate genetic research. Huang X, Elston RC, Rosa GJ, Mayer J, Ye Z, Kitchner T, Brilliant MH, Page D, Hebbring SJ. Bioinformatics 34(4):635–642, 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.

Automated and robust quantification of colocalization in dual-color fluorescence microscopy: A nonparametric statistical approach. Wang S, Arena E, Elicieri K, Yuan M. IEEE Transactions on Image Processing 27(2):622-636, 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.

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