The course is intended for graduate students in the Life Sciences area. The goal of the course is to enable students to use the R programming language as a tool to extract biological insight from high throughput data.
Topics covered range but are not limited to:
- Introduction to the R language, Rstudio IDE, and basic data structures.
- Control flow, conditionals and loops.
- Introduction to genomic data.
- Cluster analysis, and machine learning.
- Data visualization.
Course lectured by Igor Ultisky, Schraga Schwartz and Emmanuel Levy.