Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis
Joint Authors
Xu, Jiucheng
Wang, Yun
Xu, Keqiang
Zhang, Tianli
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
To select more effective feature genes, many existing algorithms focus on the selection and study of evaluation methods for feature genes, ignoring the accurate mapping of original information in data processing.
Therefore, for solving this problem, a new model is proposed in this paper: rough uncertainty metric model.
First, the fuzzy neighborhood granule of the sample is constructed by combining the fuzzy similarity relation with the neighborhood radius in the rough set, and the rough decision is defined by using the fuzzy similarity relation and the decision equivalence class.
Then, the fuzzy neighborhood granule and the rough decision are introduced into the conditional entropy, and the rough uncertainty metric model is proposed; in the meantime, the definition of measuring the significance of feature genes and the proof of some related theorems are given.
To make this model tolerate noises in data, this paper introduces a variable precision model and discusses the selection of parameters.
Finally, based on the rough uncertainty metric model, we design a feature genes selection algorithm and compare it with some existing similar algorithms.
The experimental results show that the proposed algorithm can select the smaller feature genes subset with higher classification accuracy and verify that the model proposed in this paper is more effective.
American Psychological Association (APA)
Xu, Jiucheng& Wang, Yun& Xu, Keqiang& Zhang, Tianli. 2019. Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1130652
Modern Language Association (MLA)
Xu, Jiucheng…[et al.]. Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1130652
American Medical Association (AMA)
Xu, Jiucheng& Wang, Yun& Xu, Keqiang& Zhang, Tianli. Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1130652
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130652