Obesity ML Competition - Measuring Gene Expression in Cells - Lecture 2, Part B

Learn the technical foundations of measuring gene expression in cells through this 16-minute lecture from the Broad Institute's Obesity Machine Learning Challenge series. Explore the methodologies and technologies used to quantify how genes are expressed within cellular systems, with specific focus on adipocytes - the specialized fat-storing cells central to obesity research. Discover the technical approaches for measuring cellular responses to CRISPR/Cas9 gene perturbations and understand how gene expression data is collected and analyzed in the context of metabolic disease research. Gain essential technical knowledge about cellular measurement techniques that will be crucial for participating in the machine learning challenge focused on predicting how gene modifications influence adipocyte cell fate and their role in obesity-related metabolic diseases.