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Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm. Chu LF, Leng N, Zhang J, Hou Z, Mamott D, Vereide D, Choi J, Kendziorski C, Stewart R, Thomson J. Genome Biology 17:173.

Annotation regression for genome-wide association studies with an application to psychiatric genomic consortium data. Shin S, Keles S. Statistics in Biosciences, 2016.

On tensor completion via nuclear norm minimization. Yuan M, Zhang C-H. Foundations of Computational Mathematics 16(4):1031–1068, 2016.

Analysis of embryonic development in the unsequenced axolotl: waves of transcriptional upheaval and stability. Jiang P, Nelson J, Leng N, Collins M, Swanson S, Dewey C, Thomson J, Stewart R. Developmental Biology, 2016.

Baseline regularization for computational drug repositioning with longitudinal observational data. Kuang Z, Thomson J, Caldwell M, Peissig P, Stewart R, Page D. Proceedings of the 25th International Joint Conference on Artificial Intelligence, 2016.

Integrative analysis with ChIP-seq advances the limits of transcript quantification from RNA-seq. Liu P, Sanalkumar R, Bresnick E, Keles S, Dewey C. Genome Research 26:1124–1133, 2016.

Computational drug repositioning using continuous self-controlled case series. Kuang Z, Thomson J, Caldwell M, Peissig P, Stewart R, Page D. Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016.

Latent variable graphical model selection using harmonic analysis: applications to the Human Connectome Project (HCP). Kim WH, Kim HJ, Adluru N, Singh V. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Experimental design on a budget for sparse linear models and applications. Ravi SN, Ithapu VK, Johnson SC, Singh V. Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016.

Coupled harmonic bases for longitudinal characterization of brain networks. Hwang SJ, Adluru N, Collins MD, Ravi SN, Bendlin BB, Johnson SC, Singh V. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

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