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Categoria WoS
Titulo: SNP-Schizo: A Web Tool for Schizophrenia SNP Sequence Classification
Tipo: congreso internacional
Congreso: International Work-Conference on Artificial Neural Networks (IWANN)
Fecha: 8-10/6/2011
Lugar celebracion: Torremolinos (Spain)
Volumen: LNCS 7184/2012
Paginas: 198-207
ISBN: 978-3-642-21497-4
Libro: Advances in Computational Intelligence. 11th International Work Conference on Artificial Neural Networks Proceedings Part II
Editorial: Springer Verlin / Heidelberg


This work presents a tool which is an online implementation of the best machine learning-based model obtained after an exhaustive computational study. Twelve techniques were applied to schizophrenia data to obtain the results of this study and, with these, Quantitative Genotype – Disease Relationships (QDGRs) for disease prediction. Thus, the tool offers the possibility to introduce SNP sequences (which contain the SNPs considered in the study) in order to classify a patient. In the future, QDGR models could be extended to other diseases. The model implemented online is a linear neural network.

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