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? 

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Recent News & Publications

Joris van de Haar J, et al. Identifying Epistasis in Cancer Genomes: A Delicate Affair. Cell. (2019) [PDF] [PubMed]

Press: 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) 

Featured Research:
Epigenetic Aging

Tina Wang et al., Quantitative Translation of Dog-to-Human Aging by Conserved Remodeling of the DNA Methylome, Cell Systems (2020), [Get PDF]

Previously issued as preprint: BioRxiv (4 Nov 2019) [Get PDF]

Graphical Abstract

Meet the Ideker Lab

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