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BDI Seminar: Variable Selection and Dimension Reduction methods for Omics Datasets
In recent years, new technologies have allowed researchers to perform multiple assays on the same set of patient samples. Typically these datasets contain observations of: genes (genomics), mRNA (transcriptomics), proteins (proteomics) and metabolites (metabolomics) and collectively are known as ‘Omics’ datasets. In this talk, I will discuss my research developing new methods in Bayesian and frequentist methodology for incorporating variable selection and dimension reduction for high dimensional Omics dataset.
Date:
3 October 2017, 11:00
Venue:
Big Data Institute (NDM), Old Road Campus OX3 7LF
Venue Details:
BDI LG Seminar Room 0
Speaker:
Matthew Sutton (PhD Student in Statistics, Queensland University of Technology)
Organising department:
Big Data Institute (NDM)
Organiser:
Graham Bagley (University of Oxford, Nuffield Department of Population Health)
Part of:
BDI seminars
Booking required?:
Not required
Audience:
Members of the University only
Editors:
Graham Bagley,
Natasha Bowyer
