Theoretical and empirical analysis of filter ranking methods: Experimental study on benchmark DNA microarray data
出版年份 2020 全文链接
标题
Theoretical and empirical analysis of filter ranking methods: Experimental study on benchmark DNA microarray data
作者
关键词
Feature selection, Filter method, Microarray data, Cancer classification, Gene expression
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume 169, Issue -, Pages 114485
出版商
Elsevier BV
发表日期
2020-12-17
DOI
10.1016/j.eswa.2020.114485
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Feature selection for facial emotion recognition using late hill-climbing based memetic algorithm
- (2019) Manosij Ghosh et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Recursive Memetic Algorithm for Gene Selection in Microarray Data
- (2018) Manosij Ghosh et al. EXPERT SYSTEMS WITH APPLICATIONS
- Genetic algorithm based cancerous gene identification from microarray data using ensemble of filter methods
- (2018) Manosij Ghosh et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Two hybrid wrapper-filter feature selection algorithms applied to high-dimensional microarray experiments
- (2016) Javier Apolloni et al. APPLIED SOFT COMPUTING
- Improving the Mann–Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography
- (2015) Noel Pérez Pérez et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Neural Mechanisms for Undoing the "Curse of Dimensionality"
- (2015) A. R. Vaidya JOURNAL OF NEUROSCIENCE
- Gene Selection Using Locality Sensitive Laplacian Score
- (2014) Bo Liao et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A review of microarray datasets and applied feature selection methods
- (2014) V. Bolón-Canedo et al. INFORMATION SCIENCES
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- A review of feature selection methods based on mutual information
- (2013) Jorge R. Vergara et al. NEURAL COMPUTING & APPLICATIONS
- An efficient statistical feature selection approach for classification of gene expression data
- (2011) B. Chandra et al. JOURNAL OF BIOMEDICAL INFORMATICS
- An ensemble of filters and classifiers for microarray data classification
- (2011) V. Bolón-Canedo et al. PATTERN RECOGNITION
- Feature selection using fuzzy entropy measures with similarity classifier
- (2010) Pasi Luukka EXPERT SYSTEMS WITH APPLICATIONS
- Hybrid feature selection by combining filters and wrappers
- (2010) Hui-Huang Hsu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Performance of feature-selection methods in the classification of high-dimension data
- (2008) Jianping Hua et al. PATTERN RECOGNITION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More