The Ideker Laboratory seeks to create artificially intelligent models of cancer and other diseases for the translation of patient data to precision diagnosis and treatment. In doing so, we hope to address fundamental questions in systems biology and bioinformatics, including: What are the genetic and molecular networks that promote cancer? How can we best chart these? How do we use knowledge of these networks in intelligent systems for translation of genotype to phenotype?
Recent News & Publications
Fong SH, et al. Strategies for Network GWAS Evaluated Using Classroom Crowd Science. Cell Syst. 2019 Apr 24. [PDF] [PubMed]
Trey Ideker included in new listing of highly cited researchers in the top 1% for their field. 45 UC San Diego Faculty Named Most Influential in Their Fields. Michelle Franklin, UC San Diego News Center. (November 28, 2018)
Meet Our Team
The Ideker Laboratory has welcomed many distinguished researchers over the years — ranging from undergraduates to visiting scientists. Click buttons below to view Dr. Ideker’s profile and meet our past and present lab members.
Join Our Team
The Ideker Laboratory is in continual open recruitment for excellent postdoctoral scholars, graduate students, and software engineers.
Research Centers & Affiliates