Concepts in Molecular Biosciences: Statistical Tools and Concepts for Molecular Biologists

Study covers specific basic statistical concepts required to be successful modern molecular biologist, and applies these tools to analyze real-world datasets, such as RNA sequencing. Topics include distributions, confidence intervals, and p-values; linear and logistic statistical models; high dimensional summaries through unsupervised learning (e.g., PCA and clustering); and permutation-based statistical tests. Analysis carried out using statistical programming language R. Study includes lectures, R how-to sessions, and student presentations.

Letter grading.