Link-based cluster ensembles for heterogeneous biological data analysis

Natthakan Iam-On*, Simon Garrett, Chris Price, Tossapon Boongoen

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)


Clinical data has been employed as the major factor for traditional cancer prognosis. However, this classic approach may be ineffective for analyzing morphologically indistinguishable tumor subtypes. As such, the microarray technology emerges as the promising alternative. Despite a large number of microarray studies, the actual clinical application of gene expression data analysis remains limited due to the complexity of generated data and the noise level. Recently, the integrative cluster analysis of both clinical and gene expression data has shown to be an effective alternative to overcome the above-mentioned problems. This paper presents a novel method for using cluster ensembles that is accurate for analyzing heterogeneous biological data. It overcomes the problem of selecting an appropriate clustering algorithm or parameter setting of any potential candidate, especially with a new set of data. The evaluation on real biological and benchmark datasets suggests that the quality of the proposed model is higher than many state-of-the-art cluster ensemble techniques and standard clustering algorithms. Also, its performance is robust to the parameter perturbation, thus providing a reliable and useful means for data analysts and bioinformaticians. Online supplementary is available at

Iaith wreiddiolSaesneg
TeitlInternational Conference on Bioinformatics and Biomedicine
Is-deitlBIBM 2010 Proceedings
CyhoeddwrIEEE Press
Nifer y tudalennau6
ISBN (Electronig)978-1-4244-8307-5
ISBN (Argraffiad)9781424483075
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 04 Chwef 2011
DigwyddiadBioinformatics and Biomedicine - , Hong Kong
Hyd: 18 Rhag 201021 Rhag 2010
Rhif y gynhadledd: 2010

Cyfres gyhoeddiadau

EnwProceedings - 2010 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2010


CynhadleddBioinformatics and Biomedicine
Teitl crynoBIBM
Gwlad/TiriogaethHong Kong
Cyfnod18 Rhag 201021 Rhag 2010

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