Support vector machines for novel class detection in Bioinformatics

Eduardo J. Spinosa, André C.P.L.F. de Carvalho
Published September 30, 2005
Genet. Mol. Res. 4 (3): 608-615 (2005)

About the Authors
Eduardo J. Spinosa, André C.P.L.F. de Carvalho

Corresponding author
E.J. Spinosa


Novelty detection techniques might be a promising way of dealing with high-dimensional classification problems in Bioinformatics. We present preliminary results of the use of a one-class support vector machine approach to detect novel classes in two Bioinformatics databases. The results are compatible with theory and inspire further investigation.

Key words: Novelty detection, Support vector machines, Bioinformatics, Gene expression analysis, Machine learning. 

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