by Dr. Boris Hayete, Senior Director of Genomic Medicine at GNS Healthcare
April 30, 2015 at 12pm ET
Network methods can reveal insights into disease biology and have been successfully applied to a variety of datasets. A particular field of network inference is causal inference, which focuses on inference that differentiates between likely causal and likely reactive relationships among variables, resulting in greater parsimony and biological relevance of the findings. In this webinar, Dr. Hayete presented the application of GNS Healthcare’s proprietary causal inference platform to the Orion MS dataset, discussing both the methodology and the generated findings.
About Dr. Boris Hayete
As Senior Director of Genomic Medicine at GNS Healthcare, Boris Hayete, PhD, leads a scientific team focusing on systems biology and related areas. He has coauthored a number of peer-reviewed articles on systems biology and has developed a widely used network inference algorithm.
Dr. Hayete has more than a decade of experience in network inference and systems biology; he has been at GNS Healthcare for over 7 years and was previously at the Boston University Bioinformatics PhD program. Prior to earning his PhD, Dr. Hayete conducted research and applied work in web search, and he has a bachelor’s degree and master’s degree in computer science with a focus on machine learning and natural language processing from the Johns Hopkins University.
Orion Bionetworks is a Cambridge, MA, non-profit 501(c)(3) research organization that builds Bionetwork Alliance communities to assemble and integrate high-dimensional biomarker, biosensor, and phenotypic data and advance knowledge discovery through the power of predictive analytics and computer modeling to accelerate the development of new diagnostics, treatments, and cures for brain disorders.
Orion’s webinar series fosters an exchange of knowledge on the latest breakthroughs in a variety of technical fields including bioinformatics, computational modeling, biomarker research, and nanotechnologies, and discusses how these can be utilized to accelerate time to cure for brain disease. We are inviting expert speakers to submit proposals for future webinars on the above topics. Each webinar is 50 minutes in length, followed by a 10-minute Q&A with questions submitted virtually by the participants. All webinars are free and open to the public.