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

The highly anticipated annual list identifies researchers who demonstrated significant influence in their chosen field or fields through the publication of multiple highly cited papers during the last decade.  The full 2020 Highly Cited Researchers list and executive summary can be found online here.

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

Recent Press: Old Dogs, New Research and the Secrets of Aging. James Gorman, The New York Times (9 Nov 2020) [PDF]

Brent M. Kuenzi, Jisoo Park, et al. Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells. Cancer Cell (2020 Oct). [PDF] [PubMed]

Recent Press: DrugCell: New Experimental AI Platform Matches Tumor to Best Drug Combo. Heather Buschman, UC San Diego Health Newsroom (22 Oct 2020)

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 Spotlight on Epigenetic Aging

On the cover: Cell Systems, Wang et al. Image credit: Getty and Marla Rutherford.
Selected Press:

Research Centers & Affiliates