A multi-label correlation-based feature selection method for the classification of neuroblastoma microarray data.

Jungjit, Suwimol and Freitas, Alex A. and Michaelis, M. and Cinatl, J. (2012) A multi-label correlation-based feature selection method for the classification of neuroblastoma microarray data. In: Bichindaritz, Isabelle and Perner, Petra and Ruß, Georg and Schmidt, Rainer, eds. Advances in Data Mining: 12 Industrial Conference ICDM 2012 Workshop Proceedings. IBAI Publishing, pp. 149-157. ISBN 978-3-942952-16-3. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30805)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://www.cs.kent.ac.uk/pubs/2012/3253

Item Type:	Book section
Uncontrolled keywords:	multi-label classification, data mining, bioinformatics, microarray data
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	S. Jungjit
Date Deposited:	21 Sep 2012 09:49 UTC
Last Modified:	16 Nov 2021 10:08 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/30805 (The current URI for this page, for reference purposes)

University of Kent Author Information

Freitas, Alex A..

Creator's ORCID:	https://orcid.org/0000-0001-9825-4700
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