Proteins able to interact with ribonucleic acids (RNA) are involved in many cellular processes. A detailed knowledge about the binding pairs is necessary to construct computational models which can avoid time consuming biological experiments. This paper addresses the creation of a model based on support vector machines and trained on experimentally validated data. The goal is the identification of RNA molecules binding specifically to a regulatory protein, called CELF1. © 2012 Springer-Verlag.
Identification of Regulatory Binding Sites on mRNA Using in Vivo Derived Informations and SVMs
Livi, Carmen Maria;Blanzieri, Enrico;
2012-01-01
Abstract
Proteins able to interact with ribonucleic acids (RNA) are involved in many cellular processes. A detailed knowledge about the binding pairs is necessary to construct computational models which can avoid time consuming biological experiments. This paper addresses the creation of a model based on support vector machines and trained on experimentally validated data. The goal is the identification of RNA molecules binding specifically to a regulatory protein, called CELF1. © 2012 Springer-Verlag.File in questo prodotto:
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