Course Description

Predictive modeling for high-throughput lipid analysis is an important tool to interpret outcomes associated with health and disease. Although commercially available lipid analysis softwares have some of these capabilities, they lack model development and validation flexibility. This seminar introduces the basics of predictive modeling with real-world lipidomics data using R, a free statistical computing language with hundreds of modeling algorithms and a unified coding architecture.