Gene expression analysis of leukemia samples using visual interpretation of small ensembles: a case study.

Khan, Nawaz, Stiglic, Gregor, Verlic, Mateja and Kokol, Peter (2007) Gene expression analysis of leukemia samples using visual interpretation of small ensembles: a case study. In: 2nd International Conference in Pattern Recognition in Bioinformatics, Singapore. Lecture Notes in Computer Science. Springer Berlin, Heidelberg, pp. 189-197. ISBN 978-3-540-75285-1. [Book Section] (doi:10.1007/978-3-540-75286-8_19)

Abstract

The paper has proposed and developed a visualisation tool to interpret gene expression data. The research has used a novel visual Interpretation of Small Ensembles (VISE) method to interpret microarray datasets discriminating three types of Leukemia diseases. The tool demonstrated the way of classifying leukaemia types using visual representation which act as an aid to biological researchers to identify the prominent and opposing genes. The VISE tool has the ability to reveal new knowledge and make interpretation or results a simple task for the bioinformatics community. It also has demonstrated significant improvements in leukaemia classification accuracy.

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