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DTSTART;TZID=Europe/Stockholm:20240920T100000
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DTSTAMP:20260601T210612
CREATED:20240815T085241Z
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UID:171426-1726826400-1726830000@www.scilifelab.se
SUMMARY:Variational inference for tumor phylogeny using single cell data
DESCRIPTION:Harald Melin\, KTH Royal institute of Technology \n\n\n\nMCMC has long been the gold standard for Bayesian inference in classical phylogenetics\, instantiated e.g. in popular softwares such as MrBayes and BEAST. This presentation focuses on an alternative Bayesian approach\, Variational Inference (VI)\, which has made recent advances in fields of classical and tumor phylogenetics. I will give an introduction to the method and how it is applied in classical phylogeny\, emphasising its strengths and limitations w.r.t. MCMC\, followed by how it facilitates Bayesian inference of copy number evolution in tumors using low coverage single cell whole-genome sequencing data\, based on our recent project VICTree. \n\n\n\n— \n\n\n\nNBIS arranges an open AI and IO Seminar Series aimed at knowledge-sharing about Artificial Intelligence and Integrative Omics (AI & IO) analysis and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms\, typically between 10 and 11 am\, with approx. 45 min long presentation and 15 min discussion. 
URL:https://www.scilifelab.se/event/variational-inference/
LOCATION:Online event via Zoom
CATEGORIES:Event
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