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Nagesh Adluru William Annis Rhonda Bacher Barbara Bendlin Matt Bernstein Aritra Biswas Elizabeth Burnside Tim Cartwright Deborah Chasman Kailei Chen Han Chen Alex Cobian Jennifer Cox Mark Craven Colin Dewey AnHai Doan Nate Fillmore Christopher Harrison Sterling Johnson Kwang-Sung Jun Sunduz Keles Christina Kendziorski Ross Kleiman Zhaobin "Charles" Kuang Miron Livny Xiuyu Ma Ronak Mehta D. Paul Moberg Deborah Muganda-Rippchen Michael Newton Rob Nowak Pilar Ossorio David Page Udip Pant Jignesh Patel Peggy Peissig Paul Rathouz Sushmita Roy Ravi Sastry Ganti Mahapatruni Pixu Shi Sunyoung Shin Vikas Singh Akshay Sood Sai Suryanarayanan Whitney Sweeney Debora Treu Tien Vo Grace Wahba Chang Wang Shulei Wang Rebecca Willett Yirong Wu Ming Yuan Huikun Zhang Wei Zhang Haojun Zhang Xiaojin "Jerry" Zhu

CPCP Group
Bioethics Core Data Management Lab EHR-based Phenotyping Project Epigenome-based Phenotyping Project Low-dimensional Representations Lab Neuroimage-based Phenotyping Project Phenotype Models for Breast Cancer Screening Project Software Engineering and High-Throughput Computing Core Stochastic Modeling Lab Transcriptome-based Phenotyping Project Value of Information Lab

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Results for: Publications | Stochastic Modeling Lab

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Riemannian variance filtering: An independent filtering scheme for statistical tests on manifold-valued data. Zheng L, Kim HJ, Adluru N, Newton MA, Singh V. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 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.

Identification of tissue‐specific transcriptional markers of caloric restriction in the mouse and their use to evaluate caloric restriction mimetics. Barger JL, Vann JM, Cray N, Pugh TD, Mastaloudis A, Hester SN, Wood SN, Newton MA, Weindruch R, Prolla TA. Aging Cell 16:750-760, 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 14:584–586, 2017.

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. Korthauer K, Chu LF, Newton M, Li Y, Thomson J, Stewart R, Kendziorski K. Genome Biology 17:222, 2016.

Subclonal diversity arises early even in small colorectal tumours and contributes to differential growth fates. Sievers C, Zou L, Pickhardt P, Matkowskyj K, Albrecht D, Clipson L, Bacher J, Pooler BD, Moawad F, Cash B, Reichelderfer M, Vo T, Newton M, Larget B, Halberg R. Gut, 2016.

Further support for aneuploidy tolerance in wild yeast and effects of dosage compensation on gene copy-number evolution. Gasch A, Hose J, Newton M, Sardi M, Yong M, Wang Z. eLife 5:e14409, 2016.

Making the cut: improved ranking and selection for large-scale inference. Henderson NC, Newton MA. Journal of the Royal Statistical Society Series B 78(4):781-804.

Multiset statistics for gene set analysis. Newton MA, Wang Z. Annual Review of Statistics and Its Application 2:95-111, 2015.