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

The Ma’ayan Laboratory applies 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, 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

 Featured Publications

Recent News

BCR Fall 2016_Page_01Articles in Biomedical Computation Review

Guest Editorial
Big (Data) Changes
Improving the Evaluation of Biomedical Academic Software Development Projects
By Avi Ma’ayan, PhD

Big Data Highlight
The Harmonizome
A Prototype for Integrated Datasets
By Katharine Miller

Crowdsourcing for Scientific Discovery: Mount Sinai Researchers Find Novel Ways to Analyze Data for Drug and Target Discovery
Mount Sinai press release

twoXAR Collaborates with Researchers at Mount Sinai to Advance New Medicines for Diabetic Nephropathy
Press release on Business Wire 

Establishment of Mount Sinai Center for Bioinformatics
Mount Sinai press release