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- W2013773764 abstract "Multiple sclerosis is an idiopathic inflammatory disease characterized by multiple focal lesions in the white matter of the central nervous system. Multiple sclerosis patients are usually treated with [email protected], but disease activity decrease in only 30-40% of patients. In the attempt to differentiate between responders and non-responders, we screened the main genes involved in the interferon signaling pathway for 38 single nucleotide polymorphisms (SNPs) in a multiple sclerosis Caucasian population from South Italy. We then analyzed the data using a multilayer perceptron neural network-based approach, in which we evaluated the global weight of a set of SNPs localized in different genes and their association with response to interferon therapy through a feature selection procedure (a combination of automatic relevance determination and backward elimination). The neural approach appears to be a useful tool in identifying gene polymorphisms involved in the response of patients to interferon therapy: 2 out of 5 genes were identified as containing 4 out of 38 significant single nucleotide polymorphisms, with a global accuracy of 70% in predicting responder and non-responder patients." @default.
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- W2013773764 date "2010-11-01" @default.
- W2013773764 modified "2023-09-25" @default.
- W2013773764 title "A multilayer perceptron neural network-based approach for the identification of responsiveness to interferon therapy in multiple sclerosis patients" @default.
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- W2013773764 doi "https://doi.org/10.1016/j.ins.2010.07.004" @default.
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