Department of Biological Sciences and Systems Biology
New York, United States
Presentation Title: A multidimensional single cell approach TO understand cellular behavior
Presentation Time: Monday July 14, 4:45 pm - 5:45 pm
Introduction by: Alfonso Valencia, ISCB, President Elect
High dimensional single cell technologies are on the rise, rapidly increasing in accuracy and throughput. These offer computational biology both a challenge and an opportunity. We will discuss a number of computational approaches to this data type and demonstrate a number of biological applications, including: (1) Using density estimation to characterize cellular signal processing in T-cell activation. (2) New clustering and dimensionality reduction approaches to map heterogeneity between cells; with an application to characterizing tumor heterogeneity in Acute Myeloid Leukemia. (3) An algorithm to order cells according to their developmental maturity and its use to identify novel progenitor B-cell sub-populations.
Dana Pe’er is an associate professor in the Departments of Biological Sciences and Systems Biology. Our team develops computational methods that integrate diverse high-throughput data to provide a holistic, systems-level view of molecular networks. Currently we have two key focuses: developing computational methods to interpret single cell data and understand cellular heterogeneity; Modeling how genetic and epigenetic variation alters regulatory network function and subsequently phenotype in health and disease. This path has led us to explore how systems biology approaches can be used to personalize cancer care. Dana is recipient of the Burroughs Wellcome Fund Career Award, NIH Directors New Innovator Award, NSF CAREER award, Stand Up To Cancer Innovative Research Grant and a Packard Fellow in Science and Engineering.