Statistical and Computational Challenges in High-Throughput Genomics with Application to Precision Medicine (18w5202)
Organizers
Adam Olshen (University of California, San Francisco)
Benilton Carvalho (State University Campinas)
Gabriela Cohen Freue (University of British Columbia)
Julio Collado-Vides (UNAM)
Ronglai Shen (Memorial Sloan-Kettering Cancer Center)
Description
The Casa Matemática Oaxaca (CMO) will host the "Statistical and Computational Challenges in High-Throughput Genomics with Application to Precision Medicine " workshop from November 4th to November 9th, 2018.
High-throughput genomic experiments are a key component of precision medicine.
Such experiments are expensive and time consuming. Effort and resources are wasted by poor experimental design, inadequate pre-processing to adjust for technological artifacts, and sub-optimal analytical strategies. Addressing these problems is fundamental to realizing the promise of precision medicine. The primary objective of this workshop is to bring together Biomathematicians, Biostatisticians and Computational Biologists to discuss analytic challenges in high-throughput genomic data in the context of precision medicine.
The Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT). The research station in Oaxaca is funded by CONACYT.
