Gene expression data clustering using a multiobjective symmetry based clustering technique

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Comput. Biol. Medicine

• Publication date

  2013-11-01

• Fields of study

  Biology, Medicine, Computer Science, Mathematics

• Identifiers
  DOI 10.1016/j.compbiomed.2013.07.021PMID 24209942
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Unsupervised Classification

  2012cited by this paper
• Multiobjective Simulated Annealing for Fuzzy Clustering With Stability and Validity

  2011cited by this paper
• Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes

  2009cited by this paper
• A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters

  2009influential reference
• Cluster Analysis of Gene Expression Data

  2009cited by this paper
• A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA

  2008cited by this paper
• An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons

  2008cited by this paper
• Application of a New Symmetry-Based Cluster Validity Index for Satellite Image Segmentation

  2008cited by this paper
• SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis

  2008cited by this paper
• Clustering cancer gene expression data: a comparative study

  2008cited by this paper
• A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters

  2008cited by this paper
• GAPS: A clustering method using a new point symmetry-based distance measure

  2007influential reference
• Classification and learning using genetic algorithms - applications in bioinformatics and web intelligence

  2007influential reference
• An Evolutionary Approach to Multiobjective Clustering

  2007cited by this paper
• Statistical Comparisons of Classifiers over Multiple Data Sets

  2006cited by this paper
• Metagenes and molecular pattern discovery using matrix factorization

  2004cited by this paper
• Validity index for crisp and fuzzy clusters

  2004cited by this paper
• Cluster analysis for gene expression data: a survey

  2004cited by this paper
• DHC: a density-based hierarchical clustering method for time series gene expression data

  2003cited by this paper
• CLICK and EXPANDER: a system for clustering and visualizing gene expression data

  2003cited by this paper
• Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification

  2003cited by this paper
• A genetic algorithm for cluster analysis

  2003cited by this paper
• Robust singular value decomposition analysis of microarray data

  2003cited by this paper
• Mixture modelling of gene expression data from microarray experiments

  2002cited by this paper
• Adaptive quality-based clustering of gene expression profiles

  2002cited by this paper
• A fast and elitist multiobjective genetic algorithm: NSGA-II

  2002cited by this paper
• Genetic clustering for automatic evolution of clusters and application to image classification

  2002cited by this paper
• Missing value estimation methods for DNA microarrays

  2001cited by this paper
• Nonparametric genetic clustering: comparison of validity indices

  2001cited by this paper
• Expression Data

  2001cited by this paper
• Multi-objective optimization using evolutionary algorithms

  2001cited by this paper
• Gene expression data analysis

  2000cited by this paper
• Differential Gene Expression in Response to Mechanical Wounding and Insect Feeding in Arabidopsis

  2000cited by this paper
• Analysis of large-scale gene expression data.

  2000cited by this paper
• Center CLICK: A Clustering Algorithm with Applications to Gene Expression Analysis

  2000cited by this paper
• Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

  2000cited by this paper
• Genomics, gene expression and DNA arrays

  2000cited by this paper
• Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation.

  1999cited by this paper
• Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays.

  1999cited by this paper
• Data clustering: a review

  1999cited by this paper
• Systematic determination of genetic network architecture

  1999cited by this paper
• The transcriptional program in the response of human fibroblasts to serum.

  1999cited by this paper
• Large-scale clustering of cDNA-fingerprinting data.

  1999cited by this paper
• Exploring expression data: identification and analysis of coexpressed genes.

  1999cited by this paper
• Cluster analysis and display of genome-wide expression patterns.

  1998influential reference
• A genome-wide transcriptional analysis of the mitotic cell cycle.

  1998cited by this paper
• How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis

  1998cited by this paper
• Mining the gene expression matrix: inferring gene relationships from large scale gene expression data

  1998cited by this paper
• Deterministic annealing for clustering, compression, classification, regression, and related optimization problems

  1998cited by this paper
• The transcriptional program of sporulation in budding yeast.

  1998cited by this paper
• Large-scale temporal gene expression mapping of central nervous system development.

  1998cited by this paper
• Genome-wide expression monitoring in Saccharomyces cerevisiae

  1997cited by this paper
• Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray

  1995cited by this paper
• A Validity Measure for Fuzzy Clustering

  1991influential reference
• Algorithms for Clustering Data

  1988cited by this paper
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

  1987cited by this paper
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

  1984cited by this paper
• Optimization by Simulated Annealing

  1983cited by this paper
• Pattern Recognition with Fuzzy Objective Function Algorithms

  1981influential reference
• Pattern Recognition Principles

  1974cited by this paper
• The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance

  1937cited by this paper
• Bioinformatics Original Paper Clustering Microarray Gene Expression Data Using Weighted Chinese Restaurant Process

  year unknowncited by this paper

• Global-local Dirichlet processes for identifying pan-cancer subpopulations using both shared and cancer-specific data

  2025cites this paper
• Advancing Gene Expression Data Analysis: an Innovative Multi-objective Optimization Algorithm for Simultaneous Feature Selection and Clustering

  2024cites this paper
• Breast Cancer Prediction using Machine Learning Algorithms

  2023cites this paper
• An entropy-based density peak clustering for numerical gene expression datasets

  2023cites this paper
• A REVIEW OF CLUSTERING ALGORITHMS FOR DETERMINATION OF CANCER SIGNATURES

  2022cites this paper
• Prediction of Cancer in DNA Sequences Using Unsupervised Learning Methods

  2022cites this paper
• A joint optimization framework integrated with biological knowledge for clustering incomplete gene expression data

  2021influential citation
• A hybrid multi-objective whale optimization algorithm for analyzing microarray data based on Apache Spark

  2021cites this paper
• An Archive-based Steady-State Fuzzy Differential Evolutionary Algorithm for Data Clustering (ASFDEaDC)

  2021cites this paper
• Simultaneous feature selection and clustering of micro-array and RNA-sequence gene expression data using multiobjective optimization

  2020cites this paper
• Wolf-Swarm Colony for Signature Gene Selection Using Weighted Objective Method

  2019cites this paper
• A multiobjective multi-view cluster ensemble technique: Application in patient subclassification

  2019cites this paper
• Automatic clustering and feature selection using gravitational search algorithm and its application to microarray data analysis

  2019cites this paper
• Gene Expression Data Clustering Using Variance-based Harmony Search Algorithm

  2019cites this paper
• Cancer tissue sample classification using point symmetry-based clustering algorithm

  2018cites this paper
• Bi-stage hierarchical selection of pathway genes for cancer progression using a swarm based computational approach

  2018cites this paper
• FWCMR: A scalable and robust fuzzy weighted clustering based on MapReduce with application to microarray gene expression

  2018cites this paper
• A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies

  2018cites this paper
• Aggregation of multi-objective fuzzy symmetry-based clustering techniques for improving gene and cancer classification

  2018cites this paper
• A robust gene clustering algorithm based on clonal selection in multiobjective optimization framework

  2018cites this paper
• Fusion of stability and multi-objective optimization for solving cancer tissue classification problem

  2018cites this paper
• Selection of Pathway Markers for Cancer Using Collaborative Binary Multi-Swarm Optimization

  2018cites this paper
• Simultaneous Clustering and Feature Weighting Using Multiobjective Optimization for Identifying Functionally Similar miRNAs

  2018cites this paper
• A novel point density based validity index for clustering gene expression datasets

  2017cites this paper
• An enhanced deterministic K-Means clustering algorithm for cancer subtype prediction from gene expression data

  2017cites this paper
• A line symmetry based genetic clustering technique: encoding lines in chromosomes

  2017cites this paper
• Kernel-based multiobjective clustering algorithm with automatic attribute weighting

  2017influential citation
• Semi-supervised clustering for gene-expression data in multiobjective optimization framework

  2017influential citation
• Clustering of Microarray Data to Identify Enriched Go Terms of Genes in Severe Asthma Dataset using Gene Enrichment Analy

  2016cites this paper
• Clustering Algorithms: Their Application to Gene Expression Data

  2016cites this paper
• Use of Semisupervised Clustering and Feature-Selection Techniques for Identification of Co-expressed Genes

  2016cites this paper
• Functional grouping of similar genes using eigenanalysis on minimum spanning tree based neighborhood graph

  2016cites this paper
• Importance of proximity measures in clustering of cancer and miRNA datasets: proposal of an automated framework.

  2016cites this paper
• Multiobjective Simulated Annealing-Based Clustering of Tissue Samples for Cancer Diagnosis

  2016cites this paper
• A Survey on Microarray Gene Expression Data sets in Clustering and Visualization Plots

  2015influential citation
• A Multi-objectives K-Modes Data Clustering Algorithm based on Self- Adaptive Differential Evolution

  2015cites this paper
• A new cluster validity measure based on general type-2 fuzzy sets: Application in gene expression data clustering

  2014cites this paper
• Multi-objective C-means Data Clustering Algorithm using Self-Adaptive Differential Evolution

  2014cites this paper
• Gene expression microarray classification using PCA-BEL

  2014cites this paper