Classifier Assessment and Feature Selection for Recognizing Short Coding Sequences of Human Genes

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Comparison of various algorithms for recognizing short coding sequences of human genes

MOTIVATION Since the early 1980s of the twentieth century, there has been great progress in the development of computational gene-finding algorithms. Some problems, however, have not yet been solved currently. Recognizing short genes in prokaryotes and short exons in eukaryotes is one of such problems. The paper is devoted to assessing various algorithms, including those currently available and...

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Enhancing Coding Potential Prediction for Short Sequences Using Complementary Sequence Features and Feature Selection

The identification of coding potential in DNA sequences is of major importance in bioinformatics, where it is often used to assist expert systems that automatically try to recognize genes in genomes. For longer sequences, the identification of coding potential tends to be easier due to a better signal-to-noise ratio, whereas for very short sequences the issue becomes more problematic. In this p...

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ژورنال

عنوان ژورنال: Journal of Computational Biology

سال: 2012

ISSN: 1066-5277,1557-8666

DOI: 10.1089/cmb.2011.0078