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15:00 - 16:00 17 March 2016

Frontiers in Digital Health: Modelling of multiple data sources - data integration and interactive retrieval

Location

Executive Suite 103 | Engineering Building (link Map)
Malet Place | London | WC1E 6BT | United Kingdom

Open to: Academic | Alumni | Public | Student
Admission: Free
Ticketing: Pre-booking essential

Speaker information

Professor Samuel Kaski, Academy of Finland

A challenge facing digital health research and other data-driven research is how to make maximal use of growing databases of experimental datasets to keep research cumulative. This involves integrating multiple data modalities, such as multiple types of cellular data and phenotypes, and combining data from multiple experiments.

Professor Samuel Kaski will discuss modelling-based methods for both tasks. For retrieving data sets relevant to a query dataset, the methods are usable in particular for relating an empirical researcher’s experimental dataset to earlier work in the field. The search is (i) data-driven to enable new findings, going beyond keyword searches in annotations, and (ii) modeling-driven, to take into accound both prior knowledge and insights learned from data. He will discuss case studies on gene expression data sets, and combining human-computer interaction insights and machine learning for interactive searches.


Contact

Louise Chisholm
+44 (0)20 7679 6292 | delmiro.fernandez-reyes@ucl.ac.uk


Links

Registration


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