Data Mining and Network Analysis
BSR6803.01 Systems Biology of Disease and Therapeutics CMC (customized mini-course)

Course Director: Avi Ma'ayan PhD
E-mail: avi.maayan@mssm.edu

Course Description
Cell signaling and gene regulatory networks are the focus of biomedical research because such complex systems control cellular behavior. In the past several decades, cell and molecular biologists have accumulated enormous amounts of knowledge about cell regulation; however, many components and details about their interactions, particularly in mammalian cells, are still largely unknown. Hence, we still do not have a holistic understanding of cellular regulation. There is a knowledge gap. However, the rate of data accumulation resulting from emerging high-throughput biotechnologies has the premise to close this knowledge gap, but integrating data from multiple sources to extract real knowledge about regulatory networks and developing new hypotheses and new theories is a major challenge. In this mini-course we will discuss methods used to analyze the topology of biological regulatory networks; we will survey several machine learning approaches and how they are applied to study biological molecular networks; we will discuss papers that combine computational predictions with experimental validation; and use software tools to analyze proteomics and genomics experimental expression data.

Course Schedule Fall 2011