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WILF
2007
Springer

Fuzzy Ensemble Clustering for DNA Microarray Data Analysis

10 years 7 months ago
Fuzzy Ensemble Clustering for DNA Microarray Data Analysis
Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact that classes of examples or classes of functionally related genes are sometimes not clearly defined. To face these items, we propose a fuzzy ensemble clustering approach to both improve the accuracy of clustering results and to take into account the inherent fuzziness of biological and bio-medical gene expression data. Preliminary results with DNA microarray data of lymphoma and adenocarcinoma patients show the effectiveness of the proposed approach.
Roberto Avogadri, Giorgio Valentini
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where WILF
Authors Roberto Avogadri, Giorgio Valentini
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