Thesis Topic Details

Topic ID:
536
Title:
Machine Learning from Microarray Data
Supervisor:
Mike Bain
Research Area:
Associated Staff
Assessor:
Mark Temple
Topic Details
Status:
Active
Type:
Research
Programs:
CS CE BIOM BINF SE
Group Suitable:
No
Industrial:
Pre-requisites:
DN average or better.
Description:
A number of possible projects are available applying
Machine Learning to Microarray Data. Microarrays, or "gene chips", enable the simultaneous measurement of all of the many thousands of genes in an organism's genome under varying conditions. The technology opens up many challenges for machine learning and has the potential for exciting biological and medical applications.
Comments:
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