A model for gene selection and classification of gene expression data
Gene expression data are expected to be of significant help in the development of efficient cancer diagnosis and classification platforms. One problem arising from these data is how to select a small subset of genes from thousands of genes and a few samples that are inherently noisy. This research a...
| Main Authors: | Mohamad, Mohd Saberi, Omatu, Sigeru, Deris, Safaai, Mohd Hashim, Siti Zaiton |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Japan
2007
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/7392/ http://eprints.utm.my/7392/1/MohdSaberiMohamad2007_A%20modelforgeneselectionandclassificationofgene.pdf |
Similar Items
Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification
by: Mohamad, Mohd. Saberi, et al.
Published: (2007)
by: Mohamad, Mohd. Saberi, et al.
Published: (2007)
Gene subset selection for lung cancer classification using a multi-objective strategy
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)
A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
by: Yeo, Lee Chin, et al.
Published: (2005)
by: Yeo, Lee Chin, et al.
Published: (2005)
Selecting informative genes of lung cancers by a combination of hybrid methods
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)
A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)
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)
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)
A two-stage method for identifying a smaller subset of genes in microarray data
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)
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)
by: Mohd Saberi, Mohamad, et al.
Published: (2013)
A Review of Cancer Classification Software for Gene Expression Data
by: Tan, Ching Siang, et al.
Published: (2015)
by: Tan, Ching Siang, et al.
Published: (2015)
Pathway-based analysis with support vector machine (SVM-LASSO) for gene selection and classification
by: Nurul Athirah, Nasrudin, et al.
Published: (2017)
by: Nurul Athirah, Nasrudin, et al.
Published: (2017)
Missing-values imputation algorithms for microarray gene expression data
by: Moorthy, Kohbalan, et al.
Published: (2019)
by: Moorthy, Kohbalan, et al.
Published: (2019)
An Improved gSVM-SCADL2 with Firefly Algorithm for Identification of Informative Genes and Pathways
by: Chan, Weng Howe, et al.
Published: (2016)
by: Chan, Weng Howe, et al.
Published: (2016)
Effective gene selection techniques for classification of gene expression data
by: Yeo, Lee Chin
Published: (2005)
by: Yeo, Lee Chin
Published: (2005)
Pathway-based analysis with Support Vector Machine (SVM-LASSO) for gene selection and classification
by: Nasrudin, Nurul Athirah, et al.
Published: (2017)
by: Nasrudin, Nurul Athirah, et al.
Published: (2017)
Investigation of the Effects of Imputation Methods for Gene Regulatory Networks Modelling Using Dynamic Bayesian Networks
by: Sin, Yi Lim, et al.
Published: (2016)
by: Sin, Yi Lim, et al.
Published: (2016)
Exploring the High Performance Computing-Enablement of a Suite of Gene-Knockout Based Genetic Engineering Applications
by: Li, Zhenya, et al.
Published: (2016)
by: Li, Zhenya, et al.
Published: (2016)
An integrative cancer classification based on gene expression data
by: Ong, H. F., et al.
Published: (2014)
by: Ong, H. F., et al.
Published: (2014)
An effective pre-processing phase for gene expression classification
by: Choon, Sen Seah, et al.
Published: (2018)
by: Choon, Sen Seah, et al.
Published: (2018)
Integrative gene selection for classification of microarray data
by: Ong, Huey Fang, et al.
Published: (2011)
by: Ong, Huey Fang, et al.
Published: (2011)
A Review of Software for Predicting Gene Function
by: Zuwairie, Ibrahim, et al.
Published: (2015)
by: Zuwairie, Ibrahim, et al.
Published: (2015)
Development of multi criteria decision making model for supplier selection using gene expression programming / Alireza Fallahpour
by: Alireza, Fallahpour
Published: (2016)
by: Alireza, Fallahpour
Published: (2016)
Filter-Wrapper Methods For Gene
Selection In Cancer Classification
by: Alomari, Osama Ahmad Suleiman
Published: (2018)
by: Alomari, Osama Ahmad Suleiman
Published: (2018)
An improved parallelized mRMR for gene subset selection in cancer classification
by: Kusairi, R.M., et al.
Published: (2017)
by: Kusairi, R.M., et al.
Published: (2017)
An improved parallelized mRMR for gene subset selection in cancer classification
by: Mohammad Kusairi, Rohani, et al.
Published: (2017)
by: Mohammad Kusairi, Rohani, et al.
Published: (2017)
An integrative gene selection with association analysis for microarray data classification
by: Ong, Huey Fang, et al.
Published: (2014)
by: Ong, Huey Fang, et al.
Published: (2014)
Towards gene network estimation with structure learning
by: Zainudin, Suhaila, et al.
Published: (2006)
by: Zainudin, Suhaila, et al.
Published: (2006)
Automatic clustering of gene ontology by genetic algorithm
by: Othman, Razib M., et al.
Published: (2006)
by: Othman, Razib M., et al.
Published: (2006)
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data
by: Glaab, Enrico, et al.
Published: (2012)
by: Glaab, Enrico, et al.
Published: (2012)
Neural networks for web news classification based on augmented PCA
by: Selamat, Ali, et al.
Published: (2003)
by: Selamat, Ali, et al.
Published: (2003)
Integrated framework with association analysis for gene selection in microarray data classification
by: Ong, Huey Fang
Published: (2011)
by: Ong, Huey Fang
Published: (2011)
An improved directed random walk framework for cancer classification using gene expression data
by: Seah, Choon Sen
Published: (2020)
by: Seah, Choon Sen
Published: (2020)
An Enhanced Topologically Significant Directed Random Walk in Cancer Classification using Gene Expression Datasets
by: Choon, Sen Seah, et al.
Published: (2017)
by: Choon, Sen Seah, et al.
Published: (2017)
A review on recent progress in machine learning and deep learning methods for cancer classification on gene expression data
by: Mazlan, A. U., et al.
Published: (2021)
by: Mazlan, A. U., et al.
Published: (2021)
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)
by: Muhammad Akmal, Remli, et al.
Published: (2019)
Searching the gene ontology terms using semantic similarity measure
by: Othman, Muhamad Razib, et al.
Published: (2006)
by: Othman, Muhamad Razib, et al.
Published: (2006)
A review on bioinformatics enrichment analysis tools towards functional analysis of high throughput gene set data
by: Shi, Jing Lu, et al.
Published: (2015)
by: Shi, Jing Lu, et al.
Published: (2015)
Fuzzy logic control
by: Khalid, Marzuki, et al.
Published: (1993)
by: Khalid, Marzuki, et al.
Published: (1993)
Expression Trend of Selected Ribosomal Protein Genes in Nasopharyngeal Carcinoma
by: Sim, Edmund, et al.
Published: (2012)
by: Sim, Edmund, et al.
Published: (2012)
A hybrid of Cuckoo Search and Minimization of Metabolic Adjustment to optimize metabolites production in genome-scale models
by: Muhammad Azharuddin, Arif, et al.
Published: (2018)
by: Muhammad Azharuddin, Arif, et al.
Published: (2018)
Gene Selection For Cancer Classification Based On Xgboost Classifier
by: Teo, Voon Chuan
Published: (2022)
by: Teo, Voon Chuan
Published: (2022)
Similar Items
-
Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification
by: Mohamad, Mohd. Saberi, et al.
Published: (2007) -
Gene subset selection for lung cancer classification using a multi-objective strategy
by: Mohamad, Mohd. Saberi, et al.
Published: (2008) -
A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
by: Yeo, Lee Chin, et al.
Published: (2005) -
Selecting informative genes of lung cancers by a combination of hybrid methods
by: Mohamad, Mohd. Saberi, et al.
Published: (2008) -
A new binary particle swarm optimizer to select a smaller subset of genes for leukaemia cancer classification
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)