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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.

Chromatin module inference on cellular trajectories identifies key transition points and poised epigenetic states in diverse developmental processes. Roy S, Sridharan R. Genome Research, 2017.

SCnorm: robust normalization of single-cell RNA-seq data. Bacher R, Chu LF, Leng N, Gasch A, Thomson J, Stewart R, Newton M, Kendziorski C. Nature Methods, 2017.

Screening breast MRI outcomes in routine clinical practice: comparison to BI-RADS benchmarks. Strigel RM, Rollenhagen J, Burnside ES, Elezaby M, Fowler AM, Kelcz F, Salkowski L, DeMartini WB. Academic Radiology 24(4):411-417, 2017.

Towards interactive debugging of rule-based entity matching. Panahi F, Wu W, Doan A, Naughton J. Proceedings of the International Conference on Extending Database Technology (EDBT), 2017.

Ava: From data to insights through conversation. John RJL, Potti N, Patel J. Proceedings of the Conference on Innovative Data Systems Research (CIDR), 2017.

Structure-leveraged methods in breast cancer risk prediction. Fan J, Wu Y, Yuan M, Page D, Liu J, Ong IM, Peissig P, Burnside E. Journal of Machine Learning Research 17:1-15, 2016.

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