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February 2022

BSU Virtual Seminar: “Using Variational Bayes for fast inference in large longitudinal datasets”

February 1 @ 2:00 pm - 3:00 pm
Online seminar United Kingdom

Dr David Hughes, Institute of Population Health, University of Liverpool Title: "Using Variational Bayes for fast inference in large longitudinal datasets" Abstract: Collecting information on multiple longitudinal outcomes is increasingly common in many clinical settings. In many cases it is desirable to model these outcomes jointly. However, in large datasets, with many outcomes, computational burden often prevents the simultaneous modelling of multiple outcomes within a single model. We develop a mean field variational Bayes algorithm, to jointly model multiple Gaussian,…

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Cambridge BSU Lecture in Biomedical Data Science – Prof Sandrine Dudoit

February 24 @ 5:00 pm - 6:00 pm
Online United Kingdom

"Learning from Data in Single-Cell Transcriptomics" Professor Sandrine Dudoit, Professor and Chair, Department of Statistics , Professor, Division of Biostatistics, School of Public Health , University of California, Berkeley I will discuss statistical methods and software for the analysis of single-cell transcriptome sequencing (RNA-Seq) data to investigate the differentiation of olfactory stem cells. RNA-Seq studies provide a great example of the range of questions one encounters in a Data Science workflow. I will survey the methods and software my group…

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