Massively Multiplexed Single Cell Analysis Revels Predictive Signatures in Human Disease

Massively Multiplexed Single Cell Analysis Revels Predictive Signatures in Human Disease

Statistics and Genomics Seminar
Sep 22, 2016, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Professor Sean Bendall, Department of Pathology, Stanford University
In recent years, advances in single cell proteomic technology have provided us with tools to quantify the expression of multiple genes in individual cells. The ability to simultaneously measure multiple gene products and regulatory modifications on the same cell is necessary to resolve the incredible diversity of cell subsets, as well as to define their function in the host. While...