Machine Learning In Bioinformatics: Gene Expression And Microarray Studies

Beyza Bağiröz, E. Doruk, O. Yıldız
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引用次数: 2

Abstract

Machine learning methods used in the field of bioinformatics are a frequently used solution method in diagnosing, treating and investigating the underlying causes of diseases. In addition, it is an important field of study that allows for the ease of processing, the provision of computational power and the diversity of computational tools specific to the subject, especially in processes that require processing on gene expression and microarray data sets. In this study, an introduction has been made on the use of machine learning methods in the field of bioinformatics gene expression, and the use of machine learning methods has been exemplified by recent studies.
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生物信息学中的机器学习:基因表达和微阵列研究
生物信息学领域中使用的机器学习方法是诊断、治疗和调查疾病潜在原因的常用解决方法。此外,这是一个重要的研究领域,它允许易于处理,提供计算能力和特定于主题的计算工具的多样性,特别是在需要处理基因表达和微阵列数据集的过程中。在本研究中,介绍了机器学习方法在生物信息学基因表达领域的应用,并通过最近的研究举例说明了机器学习方法的使用。
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