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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 | Christina Kendziorski

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IPI59: An actionable biomarker to improve treatment response in serous ovarian carcinoma patients. Choi J, Ye S, Eng K, Korthauer K, Bradley W, Rader J, Kendziorski C. Statistics in Biosciences 9(1):1-12, 2017.

Statistical methods for latent class quantitative trait loci mapping. Ye S, Bacher R, Keller MP, Attie AD, Kendziorski C. Genetics 206(3):1309-1317, 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.

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, 2016.

Design and computational analysis of single-cell RNA-sequencing experiments. Bacher R, Kendziorski C. Genome Biology 17:173, 2016.

OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data. Leng N, Choi J, Chu LF, Thomson JA, Kendziorski C, Stewart R. Bioinformatics 32(9):1408-10, 2016.

EBSeq-HMM: A Bayesian approach for identifying gene-expression changes in ordered RNA-seq experiments. Leng N, Li Y, McIntosh BE, Nguyen BK, Duffin B, Tian S, Thomson JA, Dewey C, Stewart R, Kendziorski C. Bioinformatics 31(16):2614-2622, 2015.