Attributes and rough properties in information systems
International Journal of Approximate Reasoning
Variable precision rough set model
Journal of Computer and System Sciences
The nature of statistical learning theory
The nature of statistical learning theory
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Data mining: concepts and techniques
Data mining: concepts and techniques
Using Rough Sets with Heuristics for Feature Selection
Journal of Intelligent Information Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Feature Selection Using Rough Sets Theory
ECML '93 Proceedings of the European Conference on Machine Learning
Dynamic Reducts as a Tool for Extracting Laws from Decisions Tables
ISMIS '94 Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems
Minimum Redundancy Feature Selection from Microarray Gene Expression Data
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Constructive and axiomatic approaches of fuzzy approximation operators
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
Cluster Analysis for Gene Expression Data: A Survey
IEEE Transactions on Knowledge and Data Engineering
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive Gene Clustering--A Case Study of Breast Cancer Microarray Data
Information Systems Frontiers
Gene selection by sequential search wrapper approaches in microarray cancer class prediction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Challenges for future intelligent systems in biomedicine
Clustering and visualization approaches for human cell cycle gene expression data analysis
International Journal of Approximate Reasoning
FBIT '07 Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies
Neighborhood rough set based heterogeneous feature subset selection
Information Sciences: an International Journal
Editorial: Probabilistic rough sets: Approximations, decision-makings, and applications
International Journal of Approximate Reasoning
Probabilistic rough set approximations
International Journal of Approximate Reasoning
Probabilistic approach to rough sets
International Journal of Approximate Reasoning
Variable precision rough set for group decision-making: An application
International Journal of Approximate Reasoning
Exploring the boundary region of tolerance rough sets for feature selection
Pattern Recognition
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Gene boosting for cancer classification based on gene expression profiles
Pattern Recognition
Variable-precision dominance-based rough set approach and attribute reduction
International Journal of Approximate Reasoning
A granularity-based framework of deduction, induction, and abduction
International Journal of Approximate Reasoning
Attribute selection with fuzzy decision reducts
Information Sciences: an International Journal
Attribute dependency functions considering data efficiency
International Journal of Approximate Reasoning
The model of fuzzy variable precision rough sets
IEEE Transactions on Fuzzy Systems
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications
International Journal of Approximate Reasoning
Roughfication of numeric decision tables: the case study of gene expression data
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces
IEEE Transactions on Knowledge and Data Engineering
Fuzzy-rough sets for information measures and selection of relevant genes from microarray data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Relevant attribute discovery in high dimensional data: application to breast cancer gene expressions
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Mining of MicroRNA expression data—a rough set approach
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Approximation spaces and information granulation
Transactions on Rough Sets III
Optimal Search-Based Gene Subset Selection for Gene Array Cancer Classification
IEEE Transactions on Information Technology in Biomedicine
Fuzzy-Rough Sets Assisted Attribute Selection
IEEE Transactions on Fuzzy Systems
An efficient fuzzy rough approach for feature selection
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Classification systems based on rough sets under the belief function framework
International Journal of Approximate Reasoning
A new gene selection method based on random subspace ensemble for microarray cancer classification
PRIB'11 Proceedings of the 6th IAPR international conference on Pattern recognition in bioinformatics
Rough sets for selection of functionally diverse genes from microarray data
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Neighborhood rough sets based multi-label classification for automatic image annotation
International Journal of Approximate Reasoning
An extension to Rough c-means clustering based on decision-theoretic Rough Sets model
International Journal of Approximate Reasoning
Feature selection with test cost constraint
International Journal of Approximate Reasoning
Review article: Computational intelligence techniques in bioinformatics
Computational Biology and Chemistry
Diverse accurate feature selection for microarray cancer diagnosis
Intelligent Data Analysis
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Among the large amount of genes presented in microarray gene expression data, only a small fraction of them is effective for performing a certain diagnostic test. In this regard, a new feature selection algorithm is presented based on rough set theory. It selects a set of genes from microarray data by maximizing the relevance and significance of the selected genes. A theoretical analysis is presented to justify the use of both relevance and significance criteria for selecting a reduced gene set with high predictive accuracy. The importance of rough set theory for computing both relevance and significance of the genes is also established. The performance of the proposed algorithm, along with a comparison with other related methods, is studied using the predictive accuracy of K-nearest neighbor rule and support vector machine on five cancer and two arthritis microarray data sets. Among seven data sets, the proposed algorithm attains 100% predictive accuracy for three cancer and two arthritis data sets, while the rough set based two existing algorithms attain this accuracy only for one cancer data set.