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A summer with genes: Simple disease classification from microarray data

Einbeck, Jochen; Jackson, Samuel E.; Kasim, Adetayo

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Authors

Profile image of Sam Jackson

Sam Jackson samuel.e.jackson@durham.ac.uk
Assistant Professor

Adetayo Kasim



Abstract

In this article we report on the work carried out within the framework of a summer project, part-funded by an IMA small grant, in which an undergraduate student (the second author of this manuscript) developed and implemented methodology for disease classification from gene expression microarray data. While the original motivation for this study was the development of a correlation threshold for gene filtering, a general outcome of this research was that, using very simple statistical techniques (essentially at undergraduate level) but solid state-of--the-art validation routines, good classification accuracies can be obtained using relatively small-sized gene signatures. We applied the techniques on expression data for breast cancer tumour subtype classification, as well as for prediction of the presence or absence of Irritable Bowel Syndrome (IBS).

Citation

Einbeck, J., Jackson, S. E., & Kasim, A. (2015). A summer with genes: Simple disease classification from microarray data. Mathematics today, 51(4), 186-188

Journal Article Type Article
Acceptance Date Mar 20, 2015
Publication Date Aug 1, 2015
Deposit Date Aug 27, 2015
Publicly Available Date Jan 20, 2016
Journal Mathematics today
Print ISSN 1361-2042
Publisher Institute of Mathematics and its Applications
Peer Reviewed Peer Reviewed
Volume 51
Issue 4
Pages 186-188
Public URL https://durham-repository.worktribe.com/output/1400858
Publisher URL http://www.ima.org.uk/activities/publications/mathematics_today.cfm.html

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