COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Cambridge Infectious Diseases > 100 years after William Bateson – what can we learn about epistasis by today’s statistical machine learning?Title to be confirmed
100 years after William Bateson – what can we learn about epistasis by today’s statistical machine learning?Title to be confirmedAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Fiona Roby. This talk has been canceled/deleted This will be a fantastic seminar, highlighting some of Jukka’s recent work that exploits increasingly large pathogen genome datasets with creative and insightful analytical approaches. His group’s work has led to important discoveries into the evolution, resistance and transmission of bacteria and viruses. Jukka is starting a four-month term as a Visiting Fellow at Churchill College and here in the Department, working on infectious disease epidemiology and genomics, and so this seminar is the perfect opportunity to meet him and hear about his research. He is an engaging speaker, and not to be missed! This talk is part of the Cambridge Infectious Diseases series. This talk is included in these lists:This talk is not included in any other list Note that ex-directory lists are not shown. |
Other listsEarthing Spirituality Gurdon Institute Seminar Series Type the title of a new list here Clare College Student Investment Fund Cancer Genetic Epidemiology Seminar Series Type the title of a new list hereOther talksAuxin and cytokinin regulation of root architecture - antagonism or synergy Loss and damage: Insights from the front lines in Bangladesh A cabinet of natural history: the long-lost Paston collection Mechanical properties of cells or cell components on the micro- and nanometer scale Holonomic D-modules, b-functions, and coadmissibility |