Editorial Board
Li Charlie Xia, PhD., MS.
Department of Medicine, Stanford University School of Medicine · united states
Editorial leadership for Journal of Bioinformatics And Diabetes ISSN 2374-9431
Research interests
- My Long Term Research Interest Is In Developing Approaches Combining State-Of-Art Physical
- Mathematical Modeling
- Computing Techniques
- Engineering Paradigms For Better Understanding Of Health
- Ecology
- Economics Related Issues
- Successively Advancing Bio/Info/Data Technologies For The Common Benefits Of Our Society. Specific Fields I Have Been Working On: 1. Statistical Methods For Human Genomics
- Metagenomics
- For Microbial Ecology. 2. Statistical Modeling
- Analysis Of Time Series With Applications To Microbial Ecology. 3. Statistics
- Algorithms For Words
- Strings (K-Tuples)
Biography
- I am currently a postdoc researcher working with Profs. Nancy Zhang at the Statistics Department, the Wharton School, University of Pennsylvania (Penn) and Hanlee Ji at the Department of Medicine, Stanford University School of Medicine.
- I was a postdoc and PhD student at Prof. Fengzhu Sun's group at the Computational Biology and Bioinformatics Division of University of Southern California (USC).
- I finished my PhD in Computational Biology and Bioinformatics and MS- degrees in both Statistics and Computer Science at USC. Previously,
- I obtained BS degree in Electronics Engineering from Fudan University, Shanghai, China.
- I also have a MS degree in Physics from Fudan University working with Professor Bailin Hao at the T-life center.
Selected publications
- Correlation detection strategies in microbial data sets vary widely in sensitivity and precision 2016 cited 716×
- Pan-cancer analysis of the extent and consequences of intratumor heterogeneity 2015 cited 704×
- Using Decision Tree Aggregation with Random Forest Model to Identify Gut Microbes Associated with Colorectal Cancer 2019 cited 60×
- Identification of large rearrangements in cancer genomes with barcode linked reads 2017 cited 37×
- Constructing the Microbial Association Network from Large-Scale Time Series Data Using Granger Causality 2019 cited 12×
- Association network analysis identifies enzymatic components of gut microbiota that significantly differ between colorectal cancer patients and healthy controls 2019 cited 10×
Ranked by citation impact (Crossref) where available, newest otherwise · verified via ORCID.
Considering JBD for your work?
This journal is guided by Li Charlie Xia, PhD., MS. (Department of Medicine, Stanford University School of Medicine) and a peer-review board of practising researchers. Open access, author-retained copyright (CC BY), and a clear editorial process.