Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection
出版年份 2022 全文链接
标题
Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection
作者
关键词
-
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 256, Issue -, Pages 109884
出版商
Elsevier BV
发表日期
2022-09-12
DOI
10.1016/j.knosys.2022.109884
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。- A novel multi-objective medical feature selection compass method for binary classification
- (2022) Nicolas Gutowski et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Graph-based relevancy-redundancy gene selection method for cancer diagnosis
- (2022) Saeid Azadifar et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods
- (2022) Farshad Saberi-Movahed et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Deep unsupervised feature selection by discarding nuisance and correlated features
- (2022) Uri Shaham et al. NEURAL NETWORKS
- Review of swarm intelligence-based feature selection methods
- (2021) Mehrdad Rostami et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Adaptive graph-based generalized regression model for unsupervised feature selection
- (2021) Yanyong Huang et al. KNOWLEDGE-BASED SYSTEMS
- High dimensionality reduction by matrix factorization for systems pharmacology
- (2021) Adel Mehrpooya et al. BRIEFINGS IN BIOINFORMATICS
- Incremental feature selection for dynamic hybrid data using neighborhood rough set
- (2020) Wenhao Shu et al. KNOWLEDGE-BASED SYSTEMS
- Feature selection and classification for gene expression data using novel correlation based overlapping score method via Chou’s 5-steps rule
- (2020) Abdul Wahid et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification
- (2020) Osman Gokalp et al. EXPERT SYSTEMS WITH APPLICATIONS
- Joint imbalanced classification and feature selection for hospital readmissions
- (2020) Guodong Du et al. KNOWLEDGE-BASED SYSTEMS
- An embedded gene selection method using knockoffs optimizing neural network
- (2020) Juncheng Guo et al. BMC BIOINFORMATICS
- GeFeS: A generalized wrapper feature selection approach for optimizing classification performance
- (2020) Golnaz Sahebi et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Unsupervised feature selection based on adaptive similarity learning and subspace clustering
- (2020) Mohsen Ghassemi Parsa et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- An efficient hybrid feature selection method to identify potential biomarkers in common chronic lung inflammatory diseases
- (2020) Mazaher Maghsoudloo et al. GENOMICS
- A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
- (2020) Seçkin Karasu et al. ENERGY
- Mutual information based feature subset selection in multivariate time series classification
- (2020) Josu Ircio et al. PATTERN RECOGNITION
- An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data
- (2020) Junghye Lee et al. EXPERT SYSTEMS WITH APPLICATIONS
- Pairwise dependence-based unsupervised feature selection
- (2020) Hyunki Lim et al. PATTERN RECOGNITION
- Robust Unsupervised Feature Selection by Nonnegative Sparse Subspace Learning
- (2019) Wei Zheng et al. NEUROCOMPUTING
- Flexible unsupervised feature extraction for image classification
- (2019) Yang Liu et al. NEURAL NETWORKS
- A review of unsupervised feature selection methods
- (2019) Saúl Solorio-Fernández et al. ARTIFICIAL INTELLIGENCE REVIEW
- Feature selection for imbalanced data based on neighborhood rough sets
- (2019) Hongmei Chen et al. INFORMATION SCIENCES
- Unsupervised feature selection via latent representation learning and manifold regularization
- (2019) Chang Tang et al. NEURAL NETWORKS
- Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms
- (2019) Md. Maniruzzaman et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection
- (2019) Ronghua Shang et al. KNOWLEDGE-BASED SYSTEMS
- C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods
- (2019) Aman Sharma et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Analysis of the microarray gene expression for breast cancer progression after the application modified logistic regression
- (2019) Francielly Morais-Rodrigues et al. GENE
- A novel multivariate filter method for feature selection in text classification problems
- (2018) Mahdieh Labani et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Dual regularized multi-view non-negative matrix factorization for clustering
- (2018) Peng Luo et al. NEUROCOMPUTING
- Unsupervised feature selection by regularized matrix factorization
- (2018) Miao Qi et al. NEUROCOMPUTING
- Deep Learning and Its Applications in Biomedicine
- (2018) Chensi Cao et al. GENOMICS PROTEOMICS & BIOINFORMATICS
- A factor graph model for unsupervised feature selection
- (2018) Hongjun Wang et al. INFORMATION SCIENCES
- Orthogonal self-guided similarity preserving projection for classification and clustering
- (2017) Xiaozhao Fang et al. NEURAL NETWORKS
- Subspace learning-based graph regularized feature selection
- (2016) Ronghua Shang et al. KNOWLEDGE-BASED SYSTEMS
- Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection
- (2016) Nan Zhou et al. PATTERN RECOGNITION
- Embedded feature-selection support vector machine for driving pattern recognition
- (2015) Xing Zhang et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Selecting feature subset with sparsity and low redundancy for unsupervised learning
- (2015) Jiuqi Han et al. KNOWLEDGE-BASED SYSTEMS
- Unsupervised feature selection via maximum projection and minimum redundancy
- (2015) Shiping Wang et al. KNOWLEDGE-BASED SYSTEMS
- Relevance–redundancy feature selection based on ant colony optimization
- (2015) Sina Tabakhi et al. PATTERN RECOGNITION
- Subspace learning for unsupervised feature selection via matrix factorization
- (2015) Shiping Wang et al. PATTERN RECOGNITION
- Unsupervised feature selection by regularized self-representation
- (2015) Pengfei Zhu et al. PATTERN RECOGNITION
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- Computational identification of human long intergenic non-coding RNAs using a GA–SVM algorithm
- (2013) Yanqiu Wang et al. GENE
- The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
- (2012) Jordi Barretina et al. NATURE
- Kupffer cells promote hepatic steatosis via interleukin-1β-dependent suppression of peroxisome proliferator-activated receptor α activity
- (2009) Rinke Stienstra et al. HEPATOLOGY
- Fuzzy Logic for Elimination of Redundant Information of Microarray Data
- (2008) Edmundo Bonilla Huerta et al. GENOMICS PROTEOMICS & BIOINFORMATICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now