Christina Kendziorski

Author

Also Known As

C Kendziorski, C M Kendziorski, C. Kendziorski, C. M. Kendziorski, C.M Kendziorski, C.M. Kendziorski, Christina Kendziorski, Christina M Kendziorski, Christina M. Kendziorski, James Bristow

215

Publications

13.3K

Citations

H-Index

183

Concepts

All Affiliations

University of Wisconsin–Madison Morgridge Institute for Research University of California, Santa Barbara University of Florida

About

Christina Kendziorski is an author at University of Wisconsin–Madison specializing in medicine, gene expression, and systems biology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	30	46	5.1K
2	Engineering	11	12	2.2K
3	Health Sciences	8	8	277
4	Natural Sciences	6	6	678
5	Business	1	1	11

Christina Kendziorski

103

Publications

11.1K

Citations

H-Index

Page 1

	Year	Citations
EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments Ning Leng, John A. Dawson, James A. Thomson, Bioinformatics	2013	1.4K
Loss of stearoyl–CoA desaturase-1 function protects mice against adiposity James M. Ntambi, Makoto Miyazaki, Jonathan P. Stoehr, Proceedings of the National Academy of Sciences	2002	1.1K
On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data Michael A. Newton, Christina Kendziorski, Craig S. Richmond, Journal of Computational Biology EngineeringGeneticsGene Expression ChangesTranscriptomics TechnologyGene Expression Profiling	2001	752
Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm Li‐Fang Chu, Ning Leng, Jue Zhang, Genome biology	2016	512
On the utility of pooling biological samples in microarray experiments Christina Kendziorski, Rafael A. Irizarry, K.-S. Chen, Proceedings of the National Academy of Sciences EngineeringGeneticsMost GenesTranscriptomics TechnologyGenomics	2005	498
A gene expression network model of type 2 diabetes links cell cycle regulation in islets with diabetes susceptibility Mark P. Keller, YounJeong Choi, Ping Wang, Genome Research	2008	413
On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles Christina Kendziorski, Michael A. Newton, M.N. Gould Statistics in Medicine	2003	376
A statistical approach for identifying differential distributions in single-cell RNA-seq experiments Keegan Korthauer, Li‐Fang Chu, Michael A. Newton, Genome biology EngineeringGeneticsTranscriptomics TechnologyGene Expression ProfilingTrajectory Analysis	2016	313
SCnorm: robust normalization of single-cell RNA-seq data Rhonda Bacher, Li‐Fang Chu, Ning Leng, Nature Methods BioinformaticsFunctional GenomicsSingle Cell SequencingRobust NormalizationMedicine	2017	310
The efficiency of pooling mRNA in microarray experiments Christina Kendziorski Biostatistics EngineeringGeneticsOptimal Experimental DesignTranscriptomics TechnologyGene Expression Profiling	2003	258

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