| 基因表达谱数据分类算法综述 |
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| 引用本文： | 张奇,荣雯雯,刘艳. 基因表达谱数据分类算法综述[J]. 实用预防医学, 2018, 25(8): 1018-1021. DOI: 10.3969/j.issn.1006-3110.2018.08.035 |
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| 作者姓名： | 张奇 荣雯雯 刘艳 |
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| 作者单位： | 哈尔滨医科大学卫生统计学教研室,黑龙江 哈尔滨 150081 |
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| 基金项目： | 国家自然科学基金(81172741,81302511) |
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| 摘 要： | 基因表达谱数据的分类算法有很多种,每种分类算法有其各自的特点,不同分类算法在不同基因表达谱数据中的分类效果也有所不同。本文主要对目前应用较多的四种分类算法(判别分析、决策树、支持向量机、集成算法)的特点和研究进展进行综述,为相关研究和应用提供科学指导。
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| 关 键 词： | 基因表达谱数据 分类算法 判别分析 决策树 支持向量机 集成算法 |
| 收稿时间： | 2017-09-15 |
Review of classification algorithms for gene expression profile data |
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| ZHANG Qi,RONG Wen-wen,LIU Yan. Review of classification algorithms for gene expression profile data[J]. Practical Preventive Medicine, 2018, 25(8): 1018-1021. DOI: 10.3969/j.issn.1006-3110.2018.08.035 |
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| Authors: | ZHANG Qi RONG Wen-wen LIU Yan |
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| Affiliation: | Department of Health Statistics,Harbin Medical University,Harbin,Heilongjiang 150081,China |
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| Abstract: | There are various kinds of classification algorithms for gene expression profile data, each of which has its own characteristics, and the effects of different classification algorithms on different gene expression profile datasets are also dissimilar. In this paper, we mainly summarize the characters and research progress of several widespread algorithms (including discriminant analysis, decision tree, support vector machine and integration algorithm) so as to provide scientific guidance for the related research and application. |
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| Keywords: | gene expression profile data classification algorithm discriminant analysis decision tree support vector machine ensemble algorithm |
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