Splice form prediction using Machine Learning
published: Feb. 25, 2007, recorded: August 2006, views: 4795
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Accurate ab initio gene finding is still a major challenge in computational biology. We employ state-of-the-art machine learning techniques based on Hidden Semi-Markov-SVMs to assay and improve the accuracy of genome annotations. We applied our system, called mSplicer, on the Caenorhabditis elegans genome and were able to drastically improve its annotation.
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