Academic Editor

Jun Chen


Summary

Assistant Professor of Biostatistics, Mayo Clinic. Ph.D., University of Pennsylvania. My research concerns the development and application of powerful and robust statistical methods for high-dimensional "omics" data, arising from modern high-throughput technologies such as microarray and next-generation sequencing. I am particularly interested in methods for microbiome sequencing data. Much of this effort is motivated by ongoing collaborations in projects that study the role of the human microbiome in disease pathogenesis using metagenomic sequencing.

Research interests include statistical genetics, genomics and metagenomics; and high-dimensional statistics.

Gerstner Family Career Development Award, Mayo Clinic Center for Individualized Medicine, 2014
Saul Winegrad Award for Outstanding Dissertation, University of Pennsylvania, 2012

Bioinformatics Computational Biology Genetics Genomics Statistics

Work details

Assistant Professor of Biostatistics

Mayo Clinic
Division of Biomedical Statistics and Informatics
Dr. Chen's methodology development focuses on efficiently modeling microbiome sequencing data, taking into account its inherent structure and large variability. The ultimate goal of his research is to provide tools to integrate the microbiome data into practice of individualized medicine.

January 7, 2016
12 citations
481 downloads
1,612 views
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https://doi.org/10.7717/peerj.1514 PubMed 26839739
November 26, 2015
6 citations
461 downloads
1,615 views
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https://doi.org/10.7717/peerj.1398 PubMed 26644969
November 17, 2015 - Version: 1
108 downloads
259 views
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https://doi.org/10.7287/peerj.preprints.1512v1

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