Scholars

Associate Professor

Positions:

Associate Professor, Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences
Associate Professor, Center for Statistical Bioinformatics, College of Science

Research Areas:

Computational biology, Human genetics, Science--Data processing, Quantum theory, Artificial intelligence, Machine learning--Statistical methods, Bioinformatics, Genomics, Software, Statistics, Genetic transcription, Computers--Scientific applications

Single Page Bio

jcai@tamu.edu

19794585482

Co-author Network

Map of Science

Co-investigator Network

Websites

https://cailab-tamu.github.io/

ORCID

0000-0002-8081-6725

Research Areas:

Twitter

Tweets by @jamescai

overview

Our research lies at the interface of human genetics, computational statistics, and data science. Current research focuses on understanding diverse behaviors of cells using machine learning, network science and dynamical system analysis. We develop analytical frameworks to study single-cell transcriptome data from various types of cells. We also study the genetic basis of phenotypic variability or randomness in the human population and develop computational tools to identify genetic variants that control complex traits and determine the susceptibility of genetic disorders.

education and training

Stanford University - (Stanford, California, United States), Postdoctoral Training
Ph.D. in Genomics, University of Hong Kong - (Hong Kong, Hong Kong, China) 2006

selected publications

Academic Articles61

Zhu, B., Guo, X., Xu, H., Jiang, B., Li, H., Wang, Y., ... Wu, C. (2021). Adipose tissue inflammation and systemic insulin resistance in mice with diet-induced obesity is possibly associated with disruption of PFKFB3 in hematopoietic cells. LABORATORY INVESTIGATION. 101(3), 328-340.
Huang, G., Osorio, D., Guan, J., Ji, G., & Cai, J. J. (2020). Overdispersed gene expression in schizophrenia. npj Schizophrenia. 6(1), 9.
Osorio, D., & Cai, J. J. (2020). Systematic determination of the mitochondrial proportion in human and mice tissues for single-cell RNA-sequencing data quality control. BIOINFORMATICS. 37(7), 963-967.
Osorio, D., & Cai, J. (2020). Systematic determination of the mitochondrial proportion in human and mice tissues for single-cell RNA sequencing data quality control.
Osorio, D., Zhong, Y., Li, G., Huang, J., & Cai, J. (2020). scTenifoldNet: a machine learning workflow for constructing and comparing transcriptome-wide gene regulatory networks from single-cell data.

Chapters1

Cai, J. J. (2011). Evolutionary Bioinformatics with a Scientific Computing Environment. Yang, N. S. (Eds.), Systems and Computational Biology - Bioinformatics and Computational Modeling. InTech.