Characterizing Cancer Subtypes Using Dual Analysis in Caleydo StratomeX

Turkay, C., Lex, A., Streit, M., Pfister, H. & Hauser, H. (2014). Characterizing Cancer Subtypes Using Dual Analysis in Caleydo StratomeX. IEEE Computer Graphics and Applications, 34(2), pp. 38-47. doi: 10.1109/MCG.2014.1

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Abstract

Dual analysis uses statistics to describe both the dimensions and rows of a high-dimensional dataset. Researchers have integrated it into StratomeX, a Caleydo view for cancer subtype analysis. In addition, significant-difference plots show the elements of a candidate subtype that differ significantly from other subtypes, thus letting analysts characterize subtypes. Analysts can also investigate how data samples relate to their assigned subtype and other groups. This approach lets them create well-defined subtypes based on statistical properties. Three case studies demonstrate the approach's utility, showing how it reproduced findings from a published subtype characterization.

Item Type: Article
Additional Information: (c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords: Cancer Subtypes, Biological Data Visualization
Subjects: R Medicine > R Medicine (General)
Divisions: School of Informatics > Department of Computing
URI: http://openaccess.city.ac.uk/id/eprint/3642

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