Weighted Correlation Network Analysis & Systems Biologic Applications by Steve Horvath, UCLA

2015 Network Analysis Short Course - Systems Biology Analysis Methods for Genomic Data This five full-day intensive course will cover network analysis methods widely used in systems biologic and systems genetic applications. The goal of the network analysis workshop is to familiarize researchers with network methods and software for integrating genomic data sets with complex phenotype data. Students will learn how to integrate disparate data sets (genetic variation, gene expression, epigenetic, protein interaction networks, complex phenotypes, gene ontology information) and use networks for identifying disease genes, pathways and key regulators. A companion Statistical Genetics Short Course will be held in August 2015. Speaker Steve Horvath is a professor of human genetics and biostatistics at UCLA. His methodological research area lies at the intersection of biostatistics, bioinformatics, computational biology, cancer research, genetics, epidemiology, machine learning, and systems biology. My group applies these methods to study a broad spectrum of diseases, e.g. aging research, cancer, cardiovascular disease, HIV, Huntington's disease, neurodegenerative diseases. Learn more about Prof. Horvath at: http://www.biostat.ucla.edu/people/horvath