University of Hertfordshire

By the same authors

Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMichael A. Lones, Stephen L. Smith, Sarah Teichmann, Felix Naef, James A. Walker, Martin A. Trefzer
Place of PublicationLondon
PublisherSpringer Heidelberg Dordrecht
Pages183-187
ISBN (Electronic)9783642287923
ISBN (Print)9783642287916
DOIs
StatePublished - 2012
Event9th International Conference IPCAT 2012 - Cambridge, United Kingdom

Conference

Conference9th International Conference IPCAT 2012
CountryUnited Kingdom
CityCambridge
Period31/03/122/04/12

Abstract

Systems biology is very much concerned with gaining an overview of what is happening in complex systems, such as in biomedical data sets, for which we need good global visualization tools. This research uses a method based on information distance geometry to create visualizations analogous to heat-maps of prognostic and diagnostic variables. It illustrates the advantages of an informationally self-structuring approach to the understanding of biomedical data. © 2012 Springer-Verlag.

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