Computational and Mathematical Methods to Study the Complexity of Regulatory Networks in Mammalian Cells

We apply graph-theory algorithms, machine-learning techniques and dynamical modeling to study how intracellular regulatory systems function as networks to control cellular processes such as differentiation, de-differentiation, apoptosis and proliferation.

Our research team develops software systems to help experimental biologists form novel hypotheses from high-throughput data, and develop theories about the structure and function of regulatory networks in mammalian systems. Read More


geo2enrichrNew tool to extract and analyze gene sets from GEO. Read More


enrichrA software tool for gene expression data analysis. Read More

Big Data to Knowledge

big dataBD2K-LINCS Data Coordination and Integration Center. Read More

Upcoming Big Data Course

big data courseThis free MOOC on Coursera starts September 15th. Register Now

Contact Us

Avi Ma'ayan, PhD
Tel: 212-659-1739
Fax: 212-831-0114
Send e-mail

Icahn Medical Institute
1425 Madison Avenue
Room 12-78 (Office), 12-76 (Lab)
One Gustave L. Levy Place
Box 1215
New York, NY 10029