CCBM Seminar Series

Aik Choon Tan

Doctoral Candidate

Bioinformatics Research Centre

University of Glasgow

"Machine Learning and its Application to Bioinformatics"

Biology has rapidly become a data-rich, information-hungry science because of recent massive data generation technologies. These experimental data are stored in distributed databases across the web using various database schemata, information representation, structure and retrieval systems. This situation has complicated the process of retrieving useful patterns or knowledge across these databases by human experts. Thus one of the current trends in bioinformatics is to design and implement automatic yet intelligent approaches to assist the user to extract useful biological information from these databases. Machine learning is one such approach, which has been widely applied to bioinformatics and has gained a lot of success in this research area.

In this presentation, I will present some of my research in designing and applying machine learning approaches to practical biological problems. These application areas include discovering patterns from biological sequences, classification of protein structures, gene expression data and proteomics data. I will also present some challenges and opportunities posses in this exciting area.

Tuesday February 10
1:00-2:00pm

Room 210,
Clark Hall