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Christina Kendziorski
Person information
- affiliation: University of Wisconsin, USA
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2020 – today
- 2021
- [j12]Jared Brown
, Zijian Ni
Normalization by distributional resampling of high throughput single-cell RNA-sequencing data. Bioinform. 37(22): 4123-4128 (2021) - [j11]Matthew N. Bernstein, Zijian Ni
CHARTS: a web application for characterizing and comparing tumor subpopulations in publicly available single-cell RNA-seq data sets. BMC Bioinform. 22(1): 83 (2021) - [j10]Jared Brown
Interspecies chimeric conditions affect the developmental rate of human pluripotent stem cells. PLoS Comput. Biol. 17(3) (2021)
2010 – 2019
- 2019
- [j9]Chris Barry, Matthew T. Schmitz
Automated minute scale RNA-seq of pluripotent stem cell differentiation reveals early divergence of human and mouse gene expression kinetics. PLoS Comput. Biol. 15(12) (2019) - 2016
- [j8]Ning Leng, Jeea Choi, Li-Fang Chu, James A. Thomson, Christina Kendziorski, Ron M. Stewart:
OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data. Bioinform. 32(9): 1408-1410 (2016) - 2015
- [j7]Keegan D. Korthauer
MADGiC: a model-based approach for identifying driver genes in cancer. Bioinform. 31(10): 1526-1535 (2015) - [j6]Ning Leng, Yuan Li, Brian E. McIntosh, Bao Kim Nguyen, Bret Duffin, Shulan Tian, James A. Thomson, Colin N. Dewey, Ron M. Stewart, Christina Kendziorski:
EBSeq-HMM: a Bayesian approach for identifying gene-expression changes in ordered RNA-seq experiments. Bioinform. 31(16): 2614-2622 (2015) - 2013
- [j5]Ning Leng, John A. Dawson, James A. Thomson, Victor Ruotti, Anna I. Rissman, Bart M. G. Smits, Jill D. Haag, Michael N. Gould, Ron M. Stewart, Christina Kendziorski:
EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinform. 29(8): 1035-1043 (2013) - [j4]Ning Leng, John A. Dawson, James A. Thomson, Victor Ruotti, Anna I. Rissman, Bart M. G. Smits, Jill D. Haag, Michael N. Gould, Ron M. Stewart, Christina Kendziorski:
EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinform. 29(16): 2073 (2013) - 2012
- [j3]John A. Dawson, Shuyun Ye, Christina Kendziorski:
R/EBcoexpress: an empirical Bayesian framework for discovering differential co-expression. Bioinform. 28(14): 1939-1940 (2012)
2000 – 2009
- 2009
- [j2]YounJeong Choi, Christina Kendziorski:
Statistical methods for gene set co-expression analysis. Bioinform. 25(21): 2780-2786 (2009) - 2001
- [j1]Michael A. Newton
On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data. J. Comput. Biol. 8(1): 37-52 (2001)
Coauthor Index
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