Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features

Duyen Thi Do, Nguyen Quoc Khanh Le

研究成果: 雜誌貢獻文章同行評審

42 引文 斯高帕斯(Scopus)

摘要

DNA replication is a fundamental task that plays a crucial role in the propagation of all living things on earth. Hence, the accurate identification of its origin could be the key to giving an insightful understanding of the regulatory mechanism of gene expression. Indeed, with the robust development of computational techniques and the abundant biological sequencing data, it has become possible for scientists to identify the origin of replication accurately and promptly. This growing concern has drawn a lot of attention among experts in this field. However, to gain better outcomes, more work is required. Therefore, this study is designed to explore the combination of state-of-the-art features and extreme gradient boosting learning system in classifying DNA sequences. Our hybrid approach is able to identify the origin of DNA replication with achieved sensitivity of 85.19%, specificity of 93.83%, accuracy of 89.51%, and MCC of 0.7931. Evidence is presented to show that our proposed method is superior to the state-of-the-art methods on the same benchmark dataset. Moreover, the research results represent a further step towards developing the prediction models for DNA replication in particular and DNA sequences in general.
原文英語
頁(從 - 到)2445-2451
頁數7
期刊Genomics
112
發行號3
DOIs
出版狀態已發佈 - 5月 2020

ASJC Scopus subject areas

  • 遺傳學

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