Biomarker Identification From Gene Expression Based on Symmetrical Uncertainty

[1]  Ghada Hany Badr,et al.  Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification , 2015, Comput. Biol. Chem..

[2]  Shang Lei,et al.  A Feature Selection Method Based on Information Gain and Genetic Algorithm , 2012, 2012 International Conference on Computer Science and Electronics Engineering.

[3]  Pedro Larrañaga,et al.  A review of feature selection techniques in bioinformatics , 2007, Bioinform..

[4]  Sang M. Lee,et al.  Text classification: neural networks vs support vector machines , 2009, Ind. Manag. Data Syst..

[5]  Nizamettin Aydin,et al.  Gene selection and classification approach for microarray data based on Random Forest Ranking and BBHA , 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

[6]  Shih-Fu Chang,et al.  Image Retrieval: Current Techniques, Promising Directions, and Open Issues , 1999, J. Vis. Commun. Image Represent..

[7]  Hao Wang,et al.  Markov Blanket Feature Selection Using Representative Sets , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[8]  Lingling Zhao,et al.  A Novel Protein Subcellular Localization Method With CNN-XGBoost Model for Alzheimer's Disease , 2019, Front. Genet..

[9]  Cheng Hao Jin,et al.  Ensemble method for classification of high-dimensional data , 2014, 2014 International Conference on Big Data and Smart Computing (BIGCOMP).

[10]  E. Lander,et al.  Gene expression correlates of clinical prostate cancer behavior. , 2002, Cancer cell.

[11]  Namita Srivastava,et al.  A novel approach for dimension reduction of microarray , 2017, Comput. Biol. Chem..

[12]  Marcello Restelli,et al.  Feature Selection via Mutual Information: New Theoretical Insights , 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

[13]  Gamal Attiya,et al.  Classification of human cancer diseases by gene expression profiles , 2017, Appl. Soft Comput..

[14]  Vinod Kumar Jain,et al.  Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification , 2018, Appl. Soft Comput..

[15]  Souad Guessoum,et al.  Fast correlation based filter combined with genetic algorithm and particle swarm on feature selection , 2017, 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B).

[16]  Krzysztof Siwek,et al.  Gene Selection for Cancer Classification through Ensemble of Methods , 2009, ICANNGA.

[17]  Salwani Abdullah,et al.  Hybrid feature selection algorithm using symmetrical uncertainty and a harmony search algorithm , 2016, Int. J. Syst. Sci..

[18]  J. G. Liao,et al.  Logistic regression for disease classification using microarray data: model selection in a large p and small n case , 2007, Bioinform..

[19]  Parham Moradi,et al.  A hybrid particle swarm optimization for feature subset selection by integrating a novel local search strategy , 2016, Appl. Soft Comput..

[20]  Jian Pei,et al.  A rank sum test method for informative gene discovery , 2004, KDD.

[21]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[22]  Hugues Bersini,et al.  A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[23]  Keun Ho Ryu,et al.  An ensemble correlation-based gene selection algorithm for cancer classification with gene expression data , 2012, Bioinform..

[24]  Han Zhang,et al.  Gene Expression Value Prediction Based on XGBoost Algorithm , 2019, Front. Genet..

[25]  Ujjwal Maulik,et al.  Recursive Memetic Algorithm for gene selection in microarray data , 2019, Expert Syst. Appl..

[26]  R. Islam,et al.  MiRANN: a reliable approach for improved classification of precursor microRNA using Artificial Neural Network model. , 2012, Genomics.

[27]  Laila Benhlima,et al.  Review on wrapper feature selection approaches , 2016, 2016 International Conference on Engineering & MIS (ICEMIS).

[28]  Huan Liu,et al.  Customer Retention via Data Mining , 2000, Artificial Intelligence Review.

[29]  Mark A. Hall,et al.  Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning , 1999, ICML.

[30]  Ron Kohavi,et al.  Wrappers for Feature Subset Selection , 1997, Artif. Intell..

[31]  M. Balafar,et al.  Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts. , 2017, Genomics.

[32]  Satchidananda Dehuri,et al.  Feature selection model based on clustering and ranking in pipeline for microarray data , 2017 .

[33]  Guesh Dagnew,et al.  Deep learning approach for microarray cancer data classification , 2020, CAAI Trans. Intell. Technol..

[34]  M. Dehmer,et al.  Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data , 2020, BMC Genomics.

[35]  Lipo Wang,et al.  A Modified T-test Feature Selection Method and Its Application on the HapMap Genotype Data , 2008, Genom. Proteom. Bioinform..

[36]  Jason Weston,et al.  Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.

[37]  Zexuan Zhu,et al.  Markov blanket-embedded genetic algorithm for gene selection , 2007, Pattern Recognit..

[38]  Trevor Hastie,et al.  An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.

[39]  Ashok Kumar Dwivedi.  Artificial neural network model for effective cancer classification using microarray gene expression data , 2018, Neural Computing and Applications.

[40]  Madhubanti Maitra,et al.  Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood technique , 2015, Expert Syst. Appl..

[41]  Pugalendhi GaneshKumar,et al.  Fuzzy Expert System based on a Novel Hybrid Stem Cell (HSC) Algorithm for Classification of Micro Array Data , 2018, Journal of Medical Systems.

[42]  Mengjie Zhang,et al.  A binary ABC algorithm based on advanced similarity scheme for feature selection , 2015, Appl. Soft Comput..

[43]  Yishi Zhang,et al.  Divergence-based feature selection for separate classes , 2013, Neurocomputing.

[44]  Michael Mayo,et al.  A survey of neural network-based cancer prediction models from microarray data , 2019, Artif. Intell. Medicine.

[45]  Tomasz Stokowy.  Classification of DNA Microarray Data with Random Forests , 2010 .

[46]  Mohammad Teshnehlab,et al.  Symmetric uncertainty class-feature association map for feature selection in microarray dataset , 2020, Int. J. Mach. Learn. Cybern..

[47]  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.

[48]  Daniela M. Witten,et al.  An Introduction to Statistical Learning: with Applications in R , 2013 .

[49]  X. Chen,et al.  Random forests for genomic data analysis. , 2012, Genomics.