EEW-SC: Enhanced Entropy-Weighting Subspace Clustering for high dimensional gene expression data clustering analysis

Zhaohong Deng; Kup-Sze Choi; Fu-Lai Chung; Shitong Wang

doi:10.1016/j.asoc.2011.07.002

EEW-SC: Enhanced Entropy-Weighting Subspace Clustering for high dimensional gene expression data clustering analysis

Applied Soft Computing ◽

10.1016/j.asoc.2011.07.002 ◽

2011 ◽

Vol 11 (8) ◽

pp. 4798-4806 ◽

Cited By ~ 15

Author(s):

Zhaohong Deng ◽

Kup-Sze Choi ◽

Fu-Lai Chung ◽

Shitong Wang

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Clustering Analysis ◽

Data Clustering ◽

Subspace Clustering ◽

High Dimensional ◽

Expression Data ◽

Gene Expression Data Clustering

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Gene expression data clustering analysis: A survey

2011 2nd National Conference on Emerging Trends and Applications in Computer Science ◽

10.1109/ncetacs.2011.5751377 ◽

2011 ◽

Cited By ~ 3

Author(s):

Sajid Nagi ◽

Dhruba K. Bhattacharyya ◽

Jugal K. Kalita

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Clustering Analysis ◽

Data Clustering ◽

Expression Data ◽

Gene Expression Data Clustering

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A New Two-steps Gene Expression Data Clustering Method

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2009.481 ◽

2009 ◽

Author(s):

Yanjie Zhang ◽

Veronique Prinet ◽

Shuanhu Wu

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Clustering ◽

Expression Data ◽

Clustering Method ◽

Gene Expression Data Clustering

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Incorporating Gene Ontology Information in Gene Expression Data Clustering Using Multiobjective Evolutionary Optimization: Application in Yeast Cell Cycle Data

Multi-Objective Optimization ◽

10.1007/978-981-13-1471-1_3 ◽

2018 ◽

pp. 55-78

Author(s):

Anirban Mukhopadhyay

Keyword(s):

Gene Expression ◽

Cell Cycle ◽

Gene Ontology ◽

Yeast Cell ◽

Gene Expression Data ◽

Data Clustering ◽

Yeast Cell Cycle ◽

Expression Data ◽

Gene Expression Data Clustering ◽

Gene Ontology Information

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Gene expression data clustering based on graph regularized subspace segmentation

Neurocomputing ◽

10.1016/j.neucom.2014.06.023 ◽

2014 ◽

Vol 143 ◽

pp. 44-50 ◽

Cited By ~ 15

Author(s):

Xiaoyun Chen ◽

Cairen Jian

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Clustering ◽

Expression Data ◽

Subspace Segmentation ◽

Gene Expression Data Clustering

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GENE EXPRESSION DATA CLUSTERING BASED ON LOCAL SIMILARITY COMBINATION

Proceedings of the 4th Asia-Pacific Bioinformatics Conference ◽

10.1142/9781860947292_0038 ◽

2005 ◽

Author(s):

DE PAN ◽

FEI WANG

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Clustering ◽

Local Similarity ◽

Expression Data ◽

Gene Expression Data Clustering

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Gene Expression Data Clustering Using Variance-based Harmony Search Algorithm

IETE Journal of Research ◽

10.1080/03772063.2018.1452641 ◽

2018 ◽

Vol 65 (5) ◽

pp. 641-652 ◽

Cited By ~ 3

Author(s):

Vijay Kumar ◽

Dinesh Kumar

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Clustering ◽

Search Algorithm ◽

Harmony Search ◽

Harmony Search Algorithm ◽

Expression Data ◽

Gene Expression Data Clustering

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Gene Expression Data Clustering

Southeast Europe Journal of Soft Computing ◽

10.21533/scjournal.v2i2.28 ◽

2013 ◽

Vol 2 (2) ◽

Author(s):

Betul Akcesme

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Clustering ◽

Expression Data ◽

Gene Expression Data Clustering

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A self-organizing maps algorithm for gene expression data clustering based on feature's distribution

2011 3rd International Conference on Advanced Computer Control ◽

10.1109/icacc.2011.6016420 ◽

2011 ◽

Author(s):

Huijie Cheng ◽

Guoyin Zhang ◽

Songjiang Lou

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Clustering ◽

Expression Data ◽

Self Organizing Maps ◽

Gene Expression Data Clustering ◽

Self Organizing

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

Knowledge-Based Systems ◽

10.1016/j.knosys.2014.03.023 ◽

2014 ◽

Vol 64 ◽

pp. 81-93 ◽

Cited By ~ 25

Author(s):

Abolfazl Doostparast Torshizi ◽

Mohammad Hossein Fazel Zarandi

Keyword(s):

Gene Expression ◽

Fuzzy Sets ◽

Gene Expression Data ◽

Data Clustering ◽

General Type ◽

Expression Data ◽

Cluster Validity ◽

Gene Expression Data Clustering ◽

Validity Measure

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Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures

2016 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2016.7727671 ◽

2016 ◽

Cited By ~ 1

Author(s):

Marian B. Gorzalczany ◽

Filip Rudzinski ◽

Jakub Piekoszewski

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Data Clustering ◽

Expression Data ◽

Gene Expression Data Clustering

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