Currently accepting applications for the BD2K-LINCS DCIC’s Summer Research Training Program in Biomedical Big Data Science. Read More
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
New tool to extract and analyze gene sets from GEO. Read More
A software tool for gene expression data analysis. Read More
BD2K-LINCS Data Coordination and Integration Center. Read More
Big Data Science MOOC with the BD2K-LINCS DCIC. Join Now