Learning

Statistical Methods for High-Dimensional Genomic Data

Foundations of Probability and Statistics → Case Studies in High-Dimensional Genomic Analysis

This learning path equips quantitative biology students with the statistical toolkit needed to analyze high-dimensional genomic datasets. It covers essential topics from multiple testing correction and dimensionality reduction to clustering, machine learning, and Bayesian approaches, with a strong foundation in basic statistics and bioinformatics.