Cui, YingCai, MengStanley, H. Eugene2020-04-032020-04-032017-01-01Ying Cui, Meng Cai, H. Eugene Stanley. 2017. "Comparative Analysis and Classification of Cassette Exons and Constitutive Exons." BIOMED RESEARCH INTERNATIONAL. https://doi.org/10.1155/2017/73235082314-61332314-6141https://hdl.handle.net/2144/39954Alternative splicing (AS) is a major engine that drives proteome diversity in mammalian genomes and is a widespread cause of human hereditary diseases. More than 95% of genes in the human genome are alternatively spliced, and the most common type of AS is the cassette exon. Recent discoveries have demonstrated that the cassette exon plays an important role in genetic diseases. To discover the formation mechanism of cassette exon events, we statistically analyze cassette exons and find that cassette exon events are strongly influenced by individual exons that are smaller in size and that have a lower GC content, more codon terminations, and weaker splice sites. We propose an improved random-forest-based hybrid method of distinguishing cassette exons from constitutive exons. Our method achieves a high accuracy in classifying cassette exons and constitutive exons and is verified to outperform previous approaches. It is anticipated that this study will facilitate a better understanding of the underlying mechanisms in cassette exons.8 pagesen-USCopyright © 2017 Ying Cui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.http://creativecommons.org/licenses/by/4.0/Science & technologyLife sciences & biomedicineBiotechnology & applied microbiologyResearch & experimental medicineAlternative splicing eventsSupport vector machineIdentificationProteinRNAArabidopsisPredictionCancerGeneAlgorithmsAlternative splicingDatabases, geneticExonsGenome, humanHumansMachine learningSequence analysis, DNAInformation and computing sciencesTechnologyArticle10.1155/2017/7323508298117