Constrained co-clustering of gene expression data (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Constrained co-clustering of gene expression data (Contributo in atti di convegno) (literal)

Anno

• 2008-01-01T00:00:00+01:00 (literal)

Alternative label

• Pensa R. G.; Boulicaut J. (2008)
  Constrained co-clustering of gene expression data
  in The 2008 SIAM International Conference on Data Mining, Atlanta, GA
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Pensa R. G.; Boulicaut J. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: SDM 2008 - The 2008 SIAM International Conference on Data Mining (Atlanta, GA, 24-26 Aprile 2008). Proceedings, pp. 25 - 36. SIAM, 2008. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• ABSTRACT: In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection of co-clusters: each co-cluster is a group of objects associated to a group of attributes and these associations can support interpretations. Many constrained clustering algorithms have been proposed to exploit the domain knowledge and to improve partition relevancy in the mono-dimensional case (e.g., using the so-called must-link and cannot-link constraints). Here, we consider constrained co-clustering not only for extended must-link and cannot-link constraints (i.e., both objects and attributes can be involved), but also for interval constraints that enforce properties of co-clusters when considering ordered domains. We propose an iterative coclustering algorithm which exploits user-defined constraints while minimizing the sum-squared residues, i.e., an objective function introduced for gene expression data clustering by Cho et al. (2004). We illustrate the added value of our approach in two applications on gene expression data. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ISTI, Pisa, University of Lyon, France (literal)

Titolo

• Constrained co-clustering of gene expression data (literal)

Prodotto di

• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)
• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)

Autore CNR

• RUGGERO GAETANO PENSA (Unità di personale esterno)

Insieme di parole chiave

• Keywords of "Constrained co-clustering of gene expression data" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR di

• RUGGERO GAETANO PENSA (Unità di personale esterno)

Insieme di parole chiave di

• Keywords of "Constrained co-clustering of gene expression data" (Insieme di parole chiave)