Measuring Gene Expression in T Cells for Cancer Immunotherapy - Lecture 2

Learn about measuring gene expression in cells through a 23-minute lecture from the Broad Institute's Cancer Immunotherapy Data Science Challenge series. Explore the technical aspects of how scientists analyze gene expression data in T cells as part of broader efforts to improve cancer immunotherapy treatments. Gain insights into single-cell sequencing technologies that enable researchers to study how genetic modifications could enhance T cells' ability to fight cancer. Understand the technological foundations that support the development of machine learning algorithms aimed at identifying genetic changes for more effective cancer cell destruction. Originally presented as part of a data science challenge collaboration between the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard, the Laboratory for Innovation Science at Harvard, Topcoder, and other partners focused on advancing cancer treatment through T cell engineering.