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Biomedical data integration in computational drug design and bioinformatics
(Bentham Science, 2013)
[Abstract In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real ...
Applied Computational Techniques on Schizophrenia Using Genetic Mutations
(Bentham, 2013-03-01)
[Abstract] Schizophrenia is a complex disease, with both genetic and environmental influence. Machine learning techniques can be used to associate different genetic variations at different genes with a (schizophrenic or ...
Using Genetic Algorithms for Automatic Recurrent ANN Development: an Application to EEG Signal Classification
(Inderscience, 2013)
[Abstract] ANNs are one of the most successful learning systems. For this
reason, many techniques have been
published that allow the obtaining of
feed-forward networks. However, fe
w ...