| dc.contributor.author | Loeliger, E. | |
| dc.contributor.author | Nehaniv, C.L. | |
| dc.contributor.author | Munro, A. J. | |
| dc.contributor.editor | Lones, Michael A. | |
| dc.contributor.editor | Smith, Stephen L. | |
| dc.contributor.editor | Teichmann, Sarah | |
| dc.contributor.editor | Naef, Felix | |
| dc.contributor.editor | Walker, James A. | |
| dc.contributor.editor | Trefzer, Martin A. | |
| dc.date.accessioned | 2014-05-06T13:30:08Z | |
| dc.date.available | 2014-05-06T13:30:08Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | Loeliger , E , Nehaniv , C L & Munro , A J 2012 , Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry . in M A Lones , S L Smith , S Teichmann , F Naef , J A Walker & M A Trefzer (eds) , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer Nature Link , London , pp. 183-187 , 9th International Conference IPCAT 2012 , Cambridge , United Kingdom , 31/03/12 . https://doi.org/10.1007/978-3-642-28792-3_23 | |
| dc.identifier.citation | conference | |
| dc.identifier.isbn | 9783642287916 | |
| dc.identifier.isbn | 9783642287923 | |
| dc.identifier.uri | http://hdl.handle.net/2299/13485 | |
| dc.description.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. | en |
| dc.language.iso | eng | |
| dc.publisher | Springer Nature Link | |
| dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
| dc.title | Heat-maps and visualization for heterogeneous biomedical data based on information distance geometry | en |
| dc.contributor.institution | Centre for Computer Science and Informatics Research | |
| dc.contributor.institution | Biocomputation Research Group | |
| dc.contributor.institution | Department of Computer Science | |
| dc.contributor.institution | School of Physics, Engineering & Computer Science | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=84859134594&partnerID=8YFLogxK | |
| rioxxterms.versionofrecord | 10.1007/978-3-642-28792-3_23 | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
