University of Cambridge > Talks.cam > Seminars on Quantitative Biology @ CRUK Cambridge Institute > New Approaches to Biomedical Data Modelling: An Introductory Tutorial

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

New Approaches to Biomedical Data Modelling: An Introductory Tutorial

Download to your calendar using vCal

If you have a question about this talk, please contact Florian Markowetz .

The development of high-throughput genomic techniques, along with the emergence of integrated electronic health records, is creating new opportunities for biomedical data analysis and modelling. It also presents substantial challenges due to the large quantities of data, together with the need to incorporate complex biological prior knowledge.

Over the last five years a powerful new framework for machine learning has emerged, which exploits probabilistic graphical models to allow a deep integration of rich domain knowledge with statistical learning. Efficient new inference algorithms, based on local message-passing on the graph, allow this approach to be scaled to massive data sets. This framework has already achieved impressive technological successes, and is now being applied to biomedical problems, such as the integration of GWAS with detailed environmental and phenotype information, as well as rich prior knowledge, to investigate gene-environment interactions in childhood asthma.

This introductory tutorial will assume little or no previous knowledge of machine learning, and will be illustrated with both toy examples and real-world case studies.

This talk is part of the Seminars on Quantitative Biology @ CRUK Cambridge Institute series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Seminar room A Cambridge New Therapeutics Forum - May Meeting LR3, Inglis Building, CUED.

Other talks

Secrets of the Surface: The Mathematical Vision of Maryam Mirzakhani ( EDI Film Screening) Talk TBC Title to be confirmed Title to be confirmed title abstract tba A scientists guide to the art of radiation therapy and Neurosurgery for the oncologist
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity