Cargando…

Improving Classification of Cancer and Mining Biomarkers from Gene Expression Profiles Using Hybrid Optimization Algorithms and Fuzzy Support Vector Machine

BACKGROUND: Gene expression data are characteristically high dimensional with a small sample size in contrast to the feature size and variability inherent in biological processes that contribute to difficulties in analysis. Selection of highly discriminative features decreases the computational cost...

Descripción completa

Detalles Bibliográficos
Autores principales:	Moteghaed, Niloofar Yousefi, Maghooli, Keivan, Garshasbi, Masoud
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Medknow Publications & Media Pvt Ltd 2018
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840891/ https://www.ncbi.nlm.nih.gov/pubmed/29535919

Ejemplares similares

Biomarker Discovery Based on Hybrid Optimization Algorithm and Artificial Neural Networks on Microarray Data for Cancer Classification
por: Moteghaed, Niloofar Yousefi, et al.
Publicado: (2015)

Biomarker Discovery by Imperialist Competitive Algorithm in Mass Spectrometry Data for Ovarian Cancer Prediction
por: Pirhadi, Shiva, et al.
Publicado: (2021)

A Hybrid EEG-based Emotion Recognition Approach Using Wavelet Convolutional Neural Networks and Support Vector Machine
por: Bagherzadeh, Sara, et al.
Publicado: (2023)

Biomedical Image Denoising Based on Hybrid Optimization Algorithm and Sequential Filters
por: N., Yousefi Moteghaed, et al.
Publicado: (2020)

Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine
por: Wang, Ke-Fan, et al.
Publicado: (2022)

Fuzzy support vector machine: an efficient rule-based classification technique for microarrays
por: Hajiloo, Mohsen, et al.
Publicado: (2013)

New Fuzzy Support Vector Machine for the Class Imbalance Problem in Medical Datasets Classification
por: Gu, Xiaoqing, et al.
Publicado: (2014)

Detection and Classification of Myocardial Infarction with Support Vector Machine Classifier Using Grasshopper Optimization Algorithm
por: Safdarian, Naser, et al.
Publicado: (2021)

Support vector machines and evolutionary algorithms for classification: single or together?
por: Stoean, Catalin, et al.
Publicado: (2014)

Support vector machines: optimization based theory, algorithms, and extensions
por: Deng, Naiyang, et al.
Publicado: (2013)

Multiclass Cancer Classification by Using Fuzzy Support Vector Machine and Binary Decision Tree With Gene Selection
por: Mao, Yong, et al.
Publicado: (2005)

Classification of MRI Brain Images Using DNA Genetic Algorithms Optimized Tsallis Entropy and Support Vector Machine
por: Zang, Wenke, et al.
Publicado: (2018)

Rock mass classification prediction model using heuristic algorithms and support vector machines: a case study of Chambishi copper mine
por: Hu, Jianhua, et al.
Publicado: (2022)

A Novel Hybrid Runge Kutta Optimizer with Support Vector Machine on Gene Expression Data for Cancer Classification
por: Houssein, Essam H., et al.
Publicado: (2023)

Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification
por: Elshewey, Ahmed M., et al.
Publicado: (2023)

Heart Rate Variability Classification using Support Vector Machine and Genetic Algorithm
por: Ashtiyani, M., et al.
Publicado: (2018)

Improved barnacles mating optimizer algorithm for feature selection and support vector machine optimization
por: Jia, Heming, et al.
Publicado: (2021)

Cancer Classification in Microarray Data using a Hybrid Selective Independent Component Analysis and υ-Support Vector Machine Algorithm
por: Saberkari, Hamidreza, et al.
Publicado: (2014)

Application of Genetic Algorithm-Based Support Vector Machine in Identification of Gene Expression Signatures for Psoriasis Classification: A Hybrid Model
por: Tapak, Leili, et al.
Publicado: (2021)

Attribute Feature Classification of English Grammar Entry Base Based on Support Vector Machine Classification Algorithm
por: Yinghua, Wu, et al.
Publicado: (2022)

Support vector machines and perceptrons: learning, optimization, classification, and application to social networks
por: Murty, MN, et al.
Publicado: (2016)

A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine
por: Gao, Fei, et al.
Publicado: (2015)

Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm
por: Yan, Yu, et al.
Publicado: (2022)

Fuzzy Algorithm Based Bionic Optimization Design of Boring Machine Column
por: Bo, Wang, et al.
Publicado: (2022)

Support Vector Machine Implementations for Classification & Clustering
por: Winters-Hilt, Stephen, et al.
Publicado: (2006)

Fuzzy modeling and genetic algorithms for data mining and exploration
por: Cox, Earl
Publicado: (2005)

A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine
por: Wajeed, Mohammed Abdul, et al.
Publicado: (2023)

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization
por: Ma, Yuliang, et al.
Publicado: (2016)

Ambient Air Quality Classification by Grey Wolf Optimizer Based Support Vector Machine
por: Saxena, Akash, et al.
Publicado: (2017)

Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification
por: Gao, Lingyun, et al.
Publicado: (2017)

Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony
por: Gao, Lingyun, et al.
Publicado: (2017)

Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm
por: Zhang, Jinlei, et al.
Publicado: (2021)

An Optimization Algorithm for Computer-Aided Diagnosis of Breast Cancer Based on Support Vector Machine
por: Dou, Yifeng, et al.
Publicado: (2021)

Evaluation of a laying-hen tracking algorithm based on a hybrid support vector machine
por: Wang, Cheng, et al.
Publicado: (2016)

Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration
por: Jiang, Xiaoqian, et al.
Publicado: (2012)

Differential Diagnosis of Erythmato-Squamous Diseases Using Classification and Regression Tree
por: Maghooli, Keivan, et al.
Publicado: (2016)

Support Vector Machine Classification of Streptavidin-Binding Aptamers
por: Yu, Xinliang, et al.
Publicado: (2014)

Support Vector Machine Classification of Drunk Driving Behaviour
por: Chen, Huiqin, et al.
Publicado: (2017)

Krein support vector machine classification of antimicrobial peptides
por: Redshaw, Joseph, et al.
Publicado: (2023)

Hybrid optimization algorithm for thermal displacement compensation of computer numerical control machine tool using regression analysis and fuzzy inference
por: Chang, Ping-Yueh, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_2s5jtvs7b6cnbhhqmg97n3bd28