Classification of breast cancer using microarray gene expression data: A survey
暂无分享,去创建一个
[1] Lei Liu,et al. Particle swarm optimization algorithm: an overview , 2017, Soft Computing.
[2] Qing Wu,et al. A Feature Selection Method Based on Hybrid Improved Binary Quantum Particle Swarm Optimization , 2019, IEEE Access.
[3] Mohamed Hamed N. Taha,et al. Breast and Colon Cancer Classification from Gene Expression Profiles Using Data Mining Techniques , 2020, Symmetry.
[4] Ahmed El-Shafie,et al. Application of artificial bee colony (ABC) algorithm in search of optimal release of Aswan High Dam , 2013 .
[5] Satchidananda Dehuri,et al. Feature selection model based on clustering and ranking in pipeline for microarray data , 2017 .
[6] Faisal Saeed,et al. Gene Selection and Classification in Microarray Datasets using a Hybrid Approach of PCC-BPSO/GA with Multi Classifiers , 2018, J. Comput. Sci..
[7] Wael Khalifa,et al. Comparative study for 8 computational intelligence algorithms for human identification , 2020, Comput. Sci. Rev..
[8] J. Foekens,et al. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer , 2005, The Lancet.
[9] P. Vadivu,et al. A Review on Data Mining Techniques for Prediction of Breast Cancer Recurrence , 2019, SSRN Electronic Journal.
[10] T. Poggio,et al. Prediction of central nervous system embryonal tumour outcome based on gene expression , 2002, Nature.
[11] Mohammed Azmi Al-Betar,et al. A Hybrid Filter-Wrapper Gene Selection Method for Cancer Classification , 2018, 2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS).
[12] Gamal Attiya,et al. Classification of human cancer diseases by gene expression profiles , 2017, Appl. Soft Comput..
[13] Abdelkader Benyettou,et al. Kernel-based learning and feature selection analysis for cancer diagnosis , 2017, Appl. Soft Comput..
[14] Mingquan Ye,et al. Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony , 2017, Molecules.
[15] E. Lander,et al. Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.
[16] Roshan G. Ragel,et al. A Novel Filter-Wrapper Based Feature Selection Approach for Cancer Data Classification , 2018, 2018 IEEE International Conference on Information and Automation for Sustainability (ICIAfS).
[17] Adiwijaya,et al. A Clustering Approach for Feature Selection in Microarray Data Classification Using Random Forest , 2018, J. Inf. Process. Syst..
[18] Belal Zaqaibeh,et al. Gene Microarray Cancer Classification using Correlation Based Feature Selection Algorithm and Rules Classifiers , 2019, Int. J. Online Biomed. Eng..
[19] Tao Liu,et al. Efficient feature selection and classification for microarray data , 2018, PloS one.
[20] Lloyd A. Smith,et al. Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper , 1999, FLAIRS.
[21] Swati Vipsita,et al. Jaya Optimized Extreme Learning Machine for Breast Cancer Data Classification , 2021 .
[22] Z. Rustam,et al. Gene selection in cancer classification using hybrid method based on Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) feature selection and support vector machine , 2019, PROCEEDINGS OF THE 4TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2018).
[24] E. Petricoin,et al. Use of proteomic patterns in serum to identify ovarian cancer , 2002, The Lancet.
[25] Adiwijaya,et al. Implementation of mutual information and bayes theorem for classification microarray data , 2018 .
[26] Pablo A. Estévez,et al. A review of feature selection methods based on mutual information , 2013, Neural Computing and Applications.
[27] Swati Vipsita,et al. An efficient approach for microarray data classification using filter wrapper hybrid approach , 2015, 2015 IEEE International Advance Computing Conference (IACC).
[28] R. K. Agrawal,et al. A hybrid of clustering and quantum genetic algorithm for relevant genes selection for cancer microarray data , 2016, Int. J. Knowl. Based Intell. Eng. Syst..
[29] Verónica Bolón-Canedo,et al. A review of microarray datasets and applied feature selection methods , 2014, Inf. Sci..
[30] Won-Gun Koh,et al. Cell Microarray Technologies for High-Throughput Cell-Based Biosensors , 2017, Sensors.
[31] Jane You,et al. Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles , 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[32] Mohammad Sadegh Helfroush,et al. A fuzzy multi-objective hybrid TLBO-PSO approach to select the associated genes with breast cancer , 2017, Signal Process..
[33] Sansanee Auephanwiriyakul,et al. Microarray data classification using neuro-fuzzy classifier with firefly algorithm , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).
[34] A. Jemal,et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.
[35] H. Nugrahapraja,et al. K-Nearest Neighbor (KNN) Analysis on Genes Expression Datasets of Maize Nested Association Mapping (NAM) Showed Confident Classification on Organ-specific Expression , 2018, 2018 1st International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering - Bioinformatics and Biomedical Engineering.
[36] Tolga Ensari,et al. Microarray breast cancer data classification using machine learning methods , 2018, 2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT).
[37] S. Ramaswamy,et al. Translation of microarray data into clinically relevant cancer diagnostic tests using gene expression ratios in lung cancer and mesothelioma. , 2002, Cancer research.
[38] Nada Almugren,et al. A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification , 2019, IEEE Access.
[39] Claudio De Stefano,et al. An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets , 2019, Inf..
[40] Ismail El Moudden,et al. Decision Tree Model Based Gene Selection and Classification for Breast Cancer Risk Prediction , 2020, SADASC.
[41] Qiang Su,et al. A Cancer Gene Selection Algorithm Based on the K-S Test and CFS , 2017, BioMed research international.
[42] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[43] Yu Xue,et al. A hybrid feature selection algorithm for gene expression data classification , 2017, Neurocomputing.
[44] E. Vardar,et al. Molecular Classification of Breast Carcinoma: From Traditional, Old-Fashioned Way to A New Age, and A New Way. , 2015, The journal of breast health.
[45] Vinod Kumar Jain,et al. Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification , 2018, Appl. Soft Comput..
[46] Sun Gang,et al. Feature Selection Algorithm Based on Mutual Information and Lasso for Microarray Data , 2016 .
[47] M. Makary,et al. Medical error—the third leading cause of death in the US , 2016, British Medical Journal.
[48] Antony Selvadoss Thanamani,et al. Feature Selection Based on Information Gain , 2013 .
[49] A. Jemal,et al. Global cancer statistics, 2012 , 2015, CA: a cancer journal for clinicians.
[50] Dimitrios I. Fotiadis,et al. Machine learning applications in cancer prognosis and prediction , 2014, Computational and structural biotechnology journal.
[51] Xin-She Yang,et al. A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.
[52] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.
[53] U. Alon,et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. , 1999, Proceedings of the National Academy of Sciences of the United States of America.