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Improvement of Relieff Based Feature Selection Algorithms for GWAS Data

机译：基于Relieff的特征选择算法改进GWAS数据

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作者
Arabnejad Khanouki, Marziyeh.;
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作者单位

The University of Tulsa.;

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授予单位 The University of Tulsa.;
学科
学位 Ph.D.
年度 2020
页码 93 p.
总页数 93
原文格式 PDF
正文语种 eng
中图分类 AAI27963417;
关键词
Genotype mismatch; Genetic relationship matrix; Epistasis;

机译：基因型不匹配;遗传关系矩阵;超越;
入库时间 2022-08-17 12:01:05

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专利

1. Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS [J] . M. Arabnejad, B. A. Dawkins, W. S. Bush, BioData Mining . 2018,第1期

机译：ReliefF特征选择中的转换转换编码和遗传关系度量可改善GWAS中的途径富集
2. A Hybrid Feature Selection Method Based on Binary State Transition Algorithm and ReliefF [J] . Zhaoke Huang, Chunhua Yang, Xiaojun Zhou, Biomedical and Health Informatics, IEEE Journal of . 2019,第5期

机译：基于二进制状态转移算法和ReliefF的混合特征选择方法
3. Weighted ReliefF with threshold constraints of feature selection for imbalanced data classification [J] . Song Yan, Si Weiyun, Dai Feifan, Concurrency, practice and experience . 2020,第14期

机译：加权Relieff，具有用于不平衡数据分类的特征选择的阈值约束
4. A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+RF) [C] . Peker Musa, Arslan Ayse, Sen Baha, International Symposium on Innovations in Intelligent SysTems and Applications . 2015

机译：确定麻醉深度的一种新的混合方法：结合ReliefF特征选择和随机森林算法（ReliefF + RF）
5. An Information Based Optimal Subdata Selection Algorithm for Big Data Linear Regression and a Suitable Variable Selection Algorithm. [D] . Zheng, Yi. 2017

机译：大数据线性回归的基于信息的最优子数据选择算法和合适的变量选择算法。
6. Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS [O] . M. Arabnejad, B. A. Dawkins, W. S. Bush, 2018

机译：ReliefF特征选择中的转换转换编码和遗传关系度量可改善GWAS中的途径富集
7. Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS [O] . M. Arabnejad, B. A. Dawkins, W. S. Bush, 2018

机译：Relieff特征选择中的转变颠译编码和遗传关系度量改善了GWAS中的途径富集
8. Rough Set Feature Selection Algorithms for Textual Case-Based Classification. [R] . Gupta, K. M., Aha, D. W., Moore, P. 2006

机译：基于文本案例分类的粗糙集特征选择算法。

Improvement of Relieff Based Feature Selection Algorithms for GWAS Data

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