Incorporating Gene Ontology in Clustering Gene Expression Data

In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissimilarity measures. In the paper we briefly review currently published attempts to genomic data fusion and discuss a probl...

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Bibliographische Detailangaben

Hauptverfasser:	Kustra, R., Zagdanski, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bioinformatics Clustering algorithms Clustering methods Gene expression Genomics Mathematics Ontologies Performance analysis Proteins Public healthcare
Online-Zugang:	Volltext bestellen
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