Molecules 2010, 15(7), 4875-4889; doi:10.3390/molecules15074875
Article

Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia

Department of Information and Communication Technologies, Computer Science Faculty, University of A Coruña, Campus de Elviña, S/N, 15071 A Coruña, Spain
* Author to whom correspondence should be addressed.
Received: 4 June 2010; in revised form: 8 July 2010 / Accepted: 9 July 2010 / Published: 12 July 2010
(This article belongs to the Special Issue From Computational Chemistry to Complex Networks)
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Abstract: Single nucleotide polymorphisms (SNPs) can be used as inputs in disease computational studies such as pattern searching and classification models. Schizophrenia is an example of a complex disease with an important social impact. The multiple causes of this disease create the need of new genetic or proteomic patterns that can diagnose patients using biological information. This work presents a computational study of disease machine learning classification models using only single nucleotide polymorphisms at the HTR2A and DRD3 genes from Galician (Northwest Spain) schizophrenic patients. These classification models establish for the first time, to the best knowledge of the authors, a relationship between the sequence of the nucleic acid molecule and schizophrenia (Quantitative Genotype – Disease Relationships) that can automatically recognize schizophrenia DNA sequences and correctly classify between 78.3–93.8% of schizophrenia subjects when using datasets which include simulated negative subjects and a linear artificial neural network.
Keywords: DNA molecule; SNP; schizophrenia; artificial neural networks; evolutionary computation

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MDPI and ACS Style

Aguiar-Pulido, V.; Seoane, J.A.; Rabuñal, J.R.; Dorado, J.; Pazos, A.; Munteanu, C.R. Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia. Molecules 2010, 15, 4875-4889.

AMA Style

Aguiar-Pulido V, Seoane JA, Rabuñal JR, Dorado J, Pazos A, Munteanu CR. Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia. Molecules. 2010; 15(7):4875-4889.

Chicago/Turabian Style

Aguiar-Pulido, Vanessa; Seoane, José A.; Rabuñal, Juan R.; Dorado, Julián; Pazos, Alejandro; Munteanu, Cristian R. 2010. "Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia." Molecules 15, no. 7: 4875-4889.

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