A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm

Decision Science Letters ◽

10.5267/j.dsl.2020.5.006 ◽

2020 ◽

pp. 271-290

Author(s):

Babak Nouri-Moghaddam ◽

Mehdi Ghazanfari ◽

Mohammad Fathian

Keyword(s):

Microarray Data ◽

Optimization Algorithm ◽

Gene Selection ◽

Hybrid Gene ◽

Multi Objective ◽

Selection Approach

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Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification

Medical & Biological Engineering & Computing ◽

10.1007/s11517-021-02476-x ◽

2022 ◽

Author(s):

Xiongshi Deng ◽

Min Li ◽

Shaobo Deng ◽

Lei Wang

Keyword(s):

Genetic Algorithm ◽

Gene Selection ◽

Cancer Classification ◽

Hybrid Gene ◽

Multi Objective ◽

Multi Objective Genetic Algorithm ◽

Selection Approach

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A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization

Genomics ◽

10.1016/j.ygeno.2016.05.001 ◽

2016 ◽

Vol 107 (6) ◽

pp. 231-238 ◽

Cited By ~ 58

Author(s):

Fatemeh Vafaee Sharbaf ◽

Sara Mosafer ◽

Mohammad Hossein Moattar

Keyword(s):

Ant Colony Optimization ◽

Microarray Data ◽

Gene Selection ◽

Learning Automata ◽

Data Classification ◽

Ant Colony ◽

Hybrid Gene ◽

Selection Approach ◽

Cellular Learning Automata

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A GALA Based Hybrid Gene Selection Model for Identification of Relevant Genes for Cancer Microarray Data

Smart Innovation, Systems and Technologies - Intelligent and Cloud Computing ◽

10.1007/978-981-15-5971-6_89 ◽

2020 ◽

pp. 827-835

Author(s):

Barnali Sahu ◽

Alok Kumar Jagadev

Keyword(s):

Microarray Data ◽

Gene Selection ◽

Selection Model ◽

Hybrid Gene

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A Novel Hybrid Gene Selection Approach Based on ReliefF and FCBF

International Journal of Digital Content Technology and its Applications ◽

10.4156/jdcta.vol5.issue10.48 ◽

2011 ◽

Vol 5 (10) ◽

pp. 404-411 ◽

Cited By ~ 2

Author(s):

JianJiao Chen ◽

Anping Song ◽

Wu Zhang

Keyword(s):

Gene Selection ◽

Hybrid Gene ◽

Selection Approach

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GT-kernelPLS: Game theory based hybrid gene selection method for microarray data classification

2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) ◽

10.1109/snpd.2015.7176202 ◽

2015 ◽

Author(s):

Adnan Shakoor ◽

Qinke Peng ◽

Shiquan Sun ◽

Xiao Wang ◽

Jia Lv

Keyword(s):

Game Theory ◽

Microarray Data ◽

Gene Selection ◽

Data Classification ◽

Selection Method ◽

Gene Selection Method ◽

Hybrid Gene

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Multi-objective optimization using genetic algorithm for gene selection from microarray data

2008 International Conference on Computer and Communication Engineering ◽

10.1109/iccce.2008.4580821 ◽

2008 ◽

Cited By ~ 1

Author(s):

Mohd Saberi Mohamad ◽

Sigeru Omatu ◽

Safaai Deris ◽

Michifumi Yoshioka

Keyword(s):

Genetic Algorithm ◽

Microarray Data ◽

Gene Selection ◽

Multi Objective Optimization ◽

Multi Objective

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A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm

Neural Computing and Applications ◽

10.1007/s00521-019-04355-x ◽

2019 ◽

Vol 32 (12) ◽

pp. 8599-8616 ◽

Cited By ~ 2

Author(s):

Santos Kumar Baliarsingh ◽

Swati Vipsita ◽

Bodhisattva Dash

Keyword(s):

Optimization Algorithm ◽

Gene Selection ◽

Cancer Classification ◽

Selection Approach

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A Hybrid Gene Selection and Classification Approach for Microarray Data Based on Clustering and PSO

Communications in Computer and Information Science - Emerging Intelligent Computing Technology and Applications ◽

10.1007/978-3-642-39678-6_15 ◽

2013 ◽

pp. 88-93 ◽

Cited By ~ 5

Author(s):

Shanxiu Yang ◽

Fei Han ◽

Jian Guan

Keyword(s):

Microarray Data ◽

Gene Selection ◽

Hybrid Gene ◽

Classification Approach

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Improving the genetic bee colony optimization algorithm for efficient gene selection in microarray data

Progress in Artificial Intelligence ◽

10.1007/s13748-018-0161-9 ◽

2018 ◽

Vol 7 (4) ◽

pp. 399-410 ◽

Cited By ~ 2

Author(s):

Adrian Pino Angulo ◽

Kilho Shin ◽

Camilo Velázquez-Rodríguez

Keyword(s):

Microarray Data ◽

Optimization Algorithm ◽

Gene Selection ◽

Bee Colony ◽

Efficient Gene ◽

Bee Colony Optimization

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Artificial neural network classification of microarray data using new hybrid gene selection method

International Journal of Data Mining and Bioinformatics ◽

10.1504/ijdmb.2017.084026 ◽

2017 ◽

Vol 17 (1) ◽

pp. 42 ◽

Cited By ~ 8

Author(s):

Rabia Aziz ◽

C.K. Verma ◽

Manoj Jha ◽

Namita Srivastava

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Microarray Data ◽

Gene Selection ◽

Selection Method ◽

Gene Selection Method ◽

Hybrid Gene ◽

Neural Network Classification ◽

Artificial Neural

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