A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification

QR Code

A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification

The application of microarray data for cancer classification has recently gained in popularity. The main problem that needs to be addressed is the selection of a smaller subset of genes from the thousands of genes in the data that contributes to a disease. This selection process is difficult because...

Full description

Bibliographic Details
Main Authors:	Mohamad, Mohd. Saberi, Omatu, Sigeru, Deris, Safaai, Yoshioka, Michifuci, Zainal, Anazida
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2008
Subjects:	QA75 Electronic computers. Computer science QA Mathematics
Online Access:	http://eprints.utm.my/8192/ http://eprints.utm.my/8192/1/AnazidaZainal2008_ANewBinaryParticleSwarmOptimizer.pdf

Similar Items

A two-stage method for identifying a smaller subset of genes in microarray data
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)

Selecting a smaller subset of informative genes from microarray data via a three-stage method
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)

Gene subset selection for lung cancer classification using a multi-objective strategy
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)

Selecting informative genes of lung cancers by a combination of hybrid methods
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)

An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
by: Mohd Saberi, Mohamad, et al.
Published: (2013)

Operation sequencing using modified particle swarm optimization
by: Zakaria, Zalmiyah, et al.
Published: (2007)

An improved parallelized mRMR for gene subset selection in cancer classification
by: Kusairi, R.M., et al.
Published: (2017)

Neural networks for web news classification based on augmented PCA
by: Selamat, Ali, et al.
Published: (2003)

Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification
by: Mohamad, Mohd. Saberi, et al.
Published: (2007)

Cooperative enhanced scatter search with opposition-based learning schemes for parameter estimation in high dimensional kinetic models of biological systems
by: Muhammad Akmal, Remli, et al.
Published: (2019)

An Improved Hybrid of Particle Swarm Optimization and the Gravitational Search Algorithm to Produce a Kinetic Parameter Estimation of Aspartate Biochemical Pathways
by: Ahmad Muhaimin, Ismail, et al.
Published: (2017)

A model for gene selection and classification of gene expression data
by: Mohamad, Mohd Saberi, et al.
Published: (2007)

Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
by: Adebayo, Olawale Surajudeen, et al.
Published: (2014)

Static code analysis of permission-based features for android malware classification using apriori algorithm with particle swarm optimization
by: Adebayo, Olawale Surajudeen, et al.
Published: (2015)

Improved particle swarm optimization by fast annealing algorithm
by: Bashath, Samar, et al.
Published: (2019)

Particle swarm optimization for neural network learning enhancement
by: Abdull Hamed, Haza Nuzly
Published: (2006)

Predicting protein-protein interactions as a one-class classification problem
by: Alashwal, Hany, et al.
Published: (2006)

Parameter estimation of essential amino acids in Arabidopsis thaliana using hybrid of bees algorithm and harmony search
by: Aw, Mei Yee, et al.
Published: (2019)

Enhancement of elman recurrent network learning with particle swarm optimization
by: Ab. Aziz, Mohamad Firdaus
Published: (2007)

Hybrid particle swarm optimization for robust digital image watermarking
by: Tao, Hai, et al.
Published: (2011)

Feature selection based on particle swarm optimization algorithm for sentiment analysis classification
by: Nurcahyawati, Vivine, et al.
Published: (2021)

Global Best Local Neighborhood in Particle Swarm Optimization in Dynamic Environment
by: Zalili, Musa, et al.
Published: (2018)

A study on premature convergence and its prevention in particle swarm optimization
by: Abdullah Asuhaimi, Farhana
Published: (2007)

The impact of VMAX activation function in particle swarm optimization neural network
by: Lee, Yiew Siang
Published: (2008)

Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
by: Sulaiman, Sarina, et al.
Published: (2008)

Towards gene network estimation with structure learning
by: Zainudin, Suhaila, et al.
Published: (2006)

Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
by: Elrasheed Ismail, Sultan
Published: (2013)

Midrange exploration exploitation searching particle swarm optimization in dynamic environment
by: Nurul Izzatie Husna, Fauzi, et al.
Published: (2021)

The importance of data classification using machine learning methods in microarray data
by: Jaber, Aws Naser, et al.
Published: (2021)

Performance Evaluation of Different Local Binary Operators for Texture Classification
by: Shamaileh, Abeer, et al.
Published: (2019)

A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking
by: Jasni, Mohamad Zain, et al.
Published: (2012)

Topologi kejiranan gabungan rangkaian kohonen dan particle swarm optimization (pso)
by: Forkan, Fadni, et al.
Published: (2006)

Clustering chemical data set using particle swarm optimization based algorithm
by: Triyono, Triyono
Published: (2008)

Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
by: Sahel Ba-Karait, Nasser Omer
Published: (2007)

Transitional particle swarm optimization
by: Nor Azlina, Ab. Aziz, et al.
Published: (2017)

Particle swarm optimization with area extension (AEPSO)
by: Atyabi, A, et al.
Published: (2007)

Different local binary operators for texture classification: a comparative study
by: Shamaileh, Abeer, et al.
Published: (2019)

Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language
by: Sutarman, .
Published: (2016)

Global best Local Neighbourhood in Particle Swarm Optimization for Big Data Environment
by: Zalili, Musa, et al.
Published: (2017)

The fusion of particle swarm optimization (PSO) and interior point method (IPM) as cooperative movement control algorithm in Swarm Robotics / Dada Emmanuel Gbenga
by: Dada Emmanuel, Gbenga
Published: (2016)