Cargando…

Genetic Programming Based Ensemble System for Microarray Data Classification

Recently, more and more machine learning techniques have been applied to microarray data analysis. The aim of this study is to propose a genetic programming (GP) based new ensemble system (named GPES), which can be used to effectively classify different types of cancers. Decision trees are deployed...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Kun-Hong, Tong, Muchenxuan, Xie, Shu-Tong, Yee Ng, Vincent To
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355811/ https://www.ncbi.nlm.nih.gov/pubmed/25810748 http://dx.doi.org/10.1155/2015/193406

Ejemplares similares

A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
por: Yang, Pengyi, et al.
Publicado: (2010)

Iterative ensemble feature selection for multiclass classification of imbalanced microarray data
por: Yang, Junshan, et al.
Publicado: (2016)

An Efficient Ensemble Learning Method for Gene Microarray Classification
por: Osareh, Alireza, et al.
Publicado: (2013)

Deep learning‐based microarray cancer classification and ensemble gene selection approach
por: Rezaee, Khosro, et al.
Publicado: (2022)

Hierarchical Gene Selection and Genetic Fuzzy System for Cancer Microarray Data Classification
por: Nguyen, Thanh, et al.
Publicado: (2015)

Efficient feature selection and classification for microarray data
por: Li, Zifa, et al.
Publicado: (2018)

Multiclass classification of microarray data with repeated measurements: application to cancer
por: Yeung, Ka Yee, et al.
Publicado: (2003)

MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering
por: Kim, Eun-Youn, et al.
Publicado: (2009)

Correction: Multiclass classification of microarray data with repeated measurements: application to cancer
por: Yeung, Ka Yee, et al.
Publicado: (2005)

Recognition of Multiple Imbalanced Cancer Types Based on DNA Microarray Data Using Ensemble Classifiers
por: Yu, Hualong, et al.
Publicado: (2013)

Gene selection for classification of microarray data based on the Bayes error
por: Zhang, Ji-Gang, et al.
Publicado: (2007)

Classification of Microarray Data Using Kernel Fuzzy Inference System
por: Kumar, Mukesh, et al.
Publicado: (2014)

Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification
por: Haque, Mohammad Nazmul, et al.
Publicado: (2016)

Classification of colorectal tissue images from high throughput tissue microarrays by ensemble deep learning methods
por: Nguyen, Huu-Giao, et al.
Publicado: (2021)

An efficient ensemble method for missing value imputation in microarray gene expression data
por: Zhu, Xinshan, et al.
Publicado: (2021)

An Empirical Study of Univariate and Genetic Algorithm-Based Feature Selection in Binary Classification with Microarray Data
por: Lecocke, Michael, et al.
Publicado: (2007)

Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data
por: Wang, Zixuan, et al.
Publicado: (2023)

Tumor classification ranking from microarray data
por: Hewett, Rattikorn, et al.
Publicado: (2008)

Classification of microarray data using gene networks
por: Rapaport, Franck, et al.
Publicado: (2007)

Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression data
por: Tan, Yongxi, et al.
Publicado: (2005)

An Integrated Approach for Identifying Wrongly Labelled Samples When Performing Classification in Microarray Data
por: Leung, Yuk Yee, et al.
Publicado: (2012)

Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data
por: Poona, Nitesh, et al.
Publicado: (2016)

Kernel-based distance metric learning for microarray data classification
por: Xiong, Huilin, et al.
Publicado: (2006)

Integrative disease classification based on cross-platform microarray data
por: Liu, Chun-Chi, et al.
Publicado: (2009)

Collaborative representation-based classification of microarray gene expression data
por: Shen, Lizhen, et al.
Publicado: (2017)

Classification of Skin Disease using Ensemble Data Mining Techniques
por: Verma, Anurag Kumar, et al.
Publicado: (2019)

LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification
por: Ren, Zeyu, et al.
Publicado: (2022)

Cluster ensemble based on Random Forests for genetic data
por: Alhusain, Luluah, et al.
Publicado: (2017)

Classification of heterogeneous microarray data by maximum entropy kernel
por: Fujibuchi, Wataru, et al.
Publicado: (2007)

Gene classification for microarray data with multiple time measurements
por: Quiton, Jonathan, et al.
Publicado: (2008)

Random forest for gene selection and microarray data classification
por: Moorthy, Kohbalan, et al.
Publicado: (2011)

Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms
por: Wegier, Weronika, et al.
Publicado: (2020)

Entropy based sub-dimensional evaluation and selection method for DNA microarray data classification
por: Wang, Yi, et al.
Publicado: (2008)

Kernel Based Nonlinear Dimensionality Reduction and Classification for Genomic Microarray
por: Li, Xuehua, et al.
Publicado: (2008)

Optimization Based Tumor Classification from Microarray Gene Expression Data
por: Dagliyan, Onur, et al.
Publicado: (2011)

Determining Cutoff Point of Ensemble Trees Based on Sample Size in Predicting Clinical Dose with DNA Microarray Data
por: Yılmaz Isıkhan, Selen, et al.
Publicado: (2016)

Development of Symbolic Expressions Ensemble for Breast Cancer Type Classification Using Genetic Programming Symbolic Classifier and Decision Tree Classifier
por: Anđelić, Nikola, et al.
Publicado: (2023)

Normalization Benefits Microarray-Based Classification
por: Hua, Jianping, et al.
Publicado: (2006)

Gene selection and classification of microarray data using random forest
por: Díaz-Uriarte, Ramón, et al.
Publicado: (2006)

Stable feature selection and classification algorithms for multiclass microarray data
por: Student, Sebastian, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_0khh7dsvedh84pndfd9kac93b4