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Titlebook: Biomedical Engineering Systems and Technologies; 7th International Jo Guy Plantier,Tanja Schultz,Hugo Gamboa Conference proceedings 2015 Sp

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A Computational Pipeline to Identify New Potential Regulatory Motifs in Melanoma Progressionses. This information is mostly static and does not give much clue about the causal relationships (i.e., regulation) among the different molecules. A typical scenario is the presence of a set of modulated mRNAs (up or down regulated) along with an over expression of one or more small non-coding RNAs
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Automatic Extraction of Highly Predictive Sequence Features that Incorporate Contiguity and Mutation in this paper generates such features by considering contiguous subsequences and their mutations, and by selecting those candidate features that have a strong association with the classification target according to the Gini index. Experimental results on three genetic data sets provide evidence of
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Conference proceedings 2015m a total of 362 submissions. The papers cover a wide range of topics and are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics..
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https://doi.org/10.1007/978-94-009-5636-0the superiority of this method over other sequence feature generation methods from the li-terature, especially in domains where presence, not specific location, of features within a sequence is pertinent for classification.
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