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Xing Li
PeerJ Editor
100 Points

Contributions by role

Editor 100

Contributions by subject area

Agricultural Science
Biodiversity
Molecular Biology

Xing Li

PeerJ Editor

Summary

Dr. Xing Li is an Assistant Professor and Associate Consultant in the Division of Biomedical Statistics and Informatics, Department of Health Science Research at Mayo Clinic - voted the best hospital by U.S. News & World Report. Dr. Li completed his PhD in Bioinformatics from The University of Michigan at Ann Arbor, Michigan, USA. Dr. Li also holds a Masters Degree in Biochemistry and Molecular Biology and Bachelors Degree in Microbiology. Dr. Li’s research interests focus on machine learning, bioinformatics, and statistical data mining in large scale data in biomedical research, such as next generation sequencing data (whole genome sequencing, RNA-seq, microarray data), in the file. He has published more than 20 peer-reviewed papers in reputable journals and book chapters in the fields of Bioinformatics and Biostatistics, cancer research, cardiovascular disease, embryonic stem cell (ESC) and induced pluripotent stem cell (iPSC) research, and human genomics, genetics and development, and Microbiology. Dr. Li’s publications have been highlighted as Journal Cover Stories, Journal Featured Articles, Highlights Section Papers, Must Read by Faculty 1000, and ESC & iPSC News, etc. Dr. Li has been developing data analysis tools, such as RCircle and PCA3d, etc. Dr. Li is also a member of American Association for Cancer Research (AACR), International Society for Computational Biology (ISCB), American Statistics Association (ASA) and American Heart Association (AHA).

Artificial Intelligence Biochemistry Bioinformatics Biotechnology Cardiology Cell Biology Computational Biology Data Mining & Machine Learning Data Science Genetics Genomics Mathematical Biology Microbiology Molecular Biology Scientific Computing & Simulation Statistics

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Work details

Assistant Professor

Mayo Clinic
Research
Focus on bioinformatics, machine learning and data science

Websites

  • Mayo Clinic Profile

PeerJ Contributions

  • Edited 1

Academic Editor on

November 2, 2017
Comparative analysis of the microRNA transcriptome between yak and cattle provides insight into high-altitude adaptation
Jiuqiang Guan, Keren Long, Jideng Ma, Jinwei Zhang, Dafang He, Long Jin, Qianzi Tang, Anan Jiang, Xun Wang, Yaodong Hu, Shilin Tian, Zhi Jiang, Mingzhou Li, Xiaolin Luo
https://doi.org/10.7717/peerj.3959 PubMed 29109913