STAT115

STAT115

Explore a comprehensive lecture video series from Harvard University's spring 2019 STAT115/215 and BIOSTAT/BST282 courses on statistical and computational methods for analyzing genomic data. Delve into topics ranging from microarray analysis and clustering techniques to RNA sequencing, epigenetics, and cancer genomics. Learn about cutting-edge bioinformatics tools and methodologies, including principal component analysis, hidden Markov models, and CRISPR screens. Gain insights into gene regulation, transcription factors, and chromatin interactions. Discover approaches for analyzing cancer mutations, subtypes, and immunotherapy. Access additional course materials through the provided Harvard Canvas link for a deeper understanding of computational biology and bioinformatics.