机器学习和复杂的生物数据。
Machine learning and complex biological data.
机构信息
Center for Applied Genetic Technologies, Institute for Plant Breeding, Genetics and Genomics, The University of Georgia, 111 Riverbend Rd, Athens, GA, 30602, USA.
Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, 130024, China.
出版信息
Genome Biol. 2019 Apr 16;20(1):76. doi: 10.1186/s13059-019-1689-0.
Abstract
Machine learning has demonstrated potential in analyzing large, complex biological data. In practice, however, biological information is required in addition to machine learning for successful application.
摘要
机器学习在分析大型、复杂的生物学数据方面表现出了潜力。然而，在实践中，除了机器学习之外，还需要生物学信息才能成功应用。
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