STAT115 2018

STAT115 2018

Dive into a comprehensive lecture series on computational biology, covering a wide range of topics from microarray analysis to deep learning applications in bioinformatics. Learn about differential expression, clustering techniques, gene ontology, high-throughput sequencing, RNA-seq analysis, single-cell RNA-seq, transcription factor motifs, ChIP-seq, epigenetics, chromatin dynamics, genome-wide association studies, tumor sequencing, cancer immunotherapy, and more. Explore various bioinformatics tools, statistical methods, and data analysis techniques used in genomics research. Gain insights into the latest advancements in computational biology and their applications in understanding complex biological systems and diseases.