Dependence and CorrelationExplores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
PCA: Key ConceptsCovers the key concepts of Principal Component Analysis (PCA) and its practical applications in data dimensionality reduction and feature extraction.
Gene Regulatory NetworksExplores how gene regulatory networks encode changes in cell development and the importance of interactions between different regulatory networks.
