David Van Valen, M.D. Ph.D.
Postdoctoral Fellow, Department of Bioengineering
Stanford University
"Integrated Large-Scale Heterogeneous Measurements in Single Cells"
Wednesday, March 29, 2017
11:00 a.m. - 12:00 p.m.
Q & A to follow
Harkness Auditorium
HSC - Clinical Sciences Building, 2nd Floor
2250 Alcazar Street, CSC 250, Los Angeles, CA
Abstract:
Individual cells differ markedly in their behavior, and these differences often confound attempts to determine biological mechanism using bulk methods. In this talk, we present work connecting recent advances in imaging, genomics, and machine learning to meet this challenge. We demonstrate how deep learning can be used to identify single cells in microscope images, paving the way for fully automated analysis workflows. We also present a new method that connects live-cell imaging with single-cell genomics to measure signaling dynamics and a genome wide gene expression profile in the same individual cell. We use this new approach to discover how heterogeneous NF-κB dynamics are decoded by the genome.
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