Modelling, clustering and aligning gene expression time series with probabilistic models
| Dates: | 18 May 2015 |
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| Times: | 14:00 - 15:00 |
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| What is it: | Seminar |
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| Organiser: | Faculty of Life Sciences |
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| Who is it for: | Current University students, University staff |
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| Speaker: | James Hensman |
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As methods for measuring gene expression become cheaper, it is becoming possible to monitor genome-wide expression in longitudinal studies, across development, disease progression or natural cycles. To deal with the complexities of these data we require models that are powerful, flexible and applicable to the resulting large datasets. I will show how hierarchical Gaussian process models can deal with biological and replicate variability of time series, and how such a model can be integrated into an efficient clustering scheme for genome sized data. I'll present results from recent collaborations where such modelling has enhanced scientific study of the data.
Speaker
James Hensman
Organisation: University of Sheffield
Travel and Contact Information
Find event
Conference Room A, 2nd Floor
Schuster Building
Manchester
