High-throughput multi-dimensional scaling (HiT-MDS) for cDNA-array expression data

DC FieldValueLanguage
dc.contributor.authorStrickert, M
dc.contributor.authorTeichmann, S
dc.contributor.authorSreenivasulu, N
dc.contributor.authorSeiffert, U
dc.contributor.editorDuch, W
dc.contributor.editorKacprzyk, J
dc.contributor.editorZadrozny, S
dc.date.accessioned2021-12-23T16:12:10Z-
dc.date.available2021-12-23T16:12:10Z-
dc.date.issued2005
dc.identifier.isbn9783540287520
dc.identifier.issn03029743
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/10076-
dc.description15th International Conference on Artificial Neural Networks (ICANN 2005), Warsaw, POLAND, SEP 11-15, 2005
dc.description.abstractMultidimensional Scaling (MDS) is a powerful dimension reduction technique for embedding high-dimensional data into a low-dimensional target space. Thereby, the distance relationships in the source are reconstructed in the target space as best as possible according to a given embedding criterion. Here, a new stress function with intuitive properties and a very good convergence behavior is presented. Optimization is combined with an efficient implementation for calculating dynamic distance matrix correlations, and the implementation can be transferred to other related algorithms. The suitability of the proposed MDS for high-throughput data (HiT-MDS) is studied in applications to macroarray analysis for up to 12,000 genes.
dc.language.isoen
dc.publisherSPRINGER-VERLAG BERLIN
dc.relation.ispartofARTIFICIAL NEURAL NETWORKS: BIOLOGICAL INSPIRATIONS - ICANN 2005, PT 1, PROCEEDINGS
dc.relation.ispartofLecture Notes in Computer Science
dc.subjectclustering
dc.subjectComputer Science
dc.subjectComputer Science, Artificial Intelligence
dc.subjectComputer Science, Theory & Methods
dc.subjectEngineering
dc.subjectEngineering, Biomedical
dc.subjectgene expression analysis
dc.subjectmulti-dimensional scaling
dc.subjectNeurosciences
dc.subjectNeurosciences & Neurology
dc.titleHigh-throughput multi-dimensional scaling (HiT-MDS) for cDNA-array expression data
dc.typeconference paper
dc.identifier.isiISI:000232193800097
dc.description.volume3696
dc.description.startpage625
dc.description.endpage633
dc.contributor.orcid0000-0002-3998-038X
dc.contributor.orcid0000-0003-4187-5877
dc.contributor.orcid0000-0002-6043-7947
dc.contributor.researcheridE-8600-2011
dc.contributor.researcheridM-9574-2014
dc.identifier.eissn16113349
dc.publisher.placeHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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