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Volumn 37, Issue , 2009, Pages 342-348

BIDENS: Iterative density based biclustering algorithm with application to gene expression analysis

Author keywords

Bi dimensional clustering; Biclustering; Data mining; Gene expression analysis; Machine learning

Indexed keywords

ARTIFICIAL DATASETS; ASSOCIATION RULES MINING; BI-DIMENSIONAL CLUSTERING; BICLUSTERING; BICLUSTERING ALGORITHM; BICLUSTERS; DATA MINING TECHNIQUES; DENSITY-BASED; DISCRETIZATION; EXPERIMENTAL STUDIES; GENE EXPRESSION ANALYSIS; HUMAN GENES; INPUT PARAMETER; ITERATIVE ALGORITHM; MACHINE LEARNING; NOISE-TOLERANT; PRE-PROCESSING STEP;

EID: 72749120676     PISSN: 2010376X     EISSN: 20103778     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (11)

References (21)
  • 1
  • 5
    • 0041627879 scopus 로고    scopus 로고
    • Extracting Conserved Gene Expression Motifs from Gene Expression Data
    • T.M. Murali and S. Kasif, "Extracting Conserved Gene Expression Motifs from Gene Expression Data," Proc. Pacific Symp. Biocomputing,vol. 8, pp. 77-88, 2003.
    • (2003) Proc. Pacific Symp. Biocomputing , vol.8 , pp. 77-88
    • Murali, T.M.1    Kasif, S.2
  • 6
    • 0003499480 scopus 로고    scopus 로고
    • Plaid Models for Gene Expression Data,
    • Stanford Univ
    • L. Lazzeroni and A. Owen, "Plaid Models for Gene Expression Data," technical report, Stanford Univ., 2000.
    • (2000) technical report
    • Lazzeroni, L.1    Owen, A.2
  • 8
    • 4544339167 scopus 로고    scopus 로고
    • Defining Transaction Modules using large scale gene expression data
    • J. Ihmels, S. Bergmann, and N. Brkai, "Defining Transaction Modules using large scale gene expression data," Bioinformatics,Vol.20,No.13,pp. 1993-2003, 2004.
    • (2004) Bioinformatics , vol.20 , Issue.13 , pp. 1993-2003
    • Ihmels, J.1    Bergmann, S.2    Brkai, N.3
  • 9
    • 11244306358 scopus 로고    scopus 로고
    • Discovering Statistically Significant Biclusters in Gene Expression Data
    • A. Tanay, R. Sharan, and R. Shamir, "Discovering Statistically Significant Biclusters in Gene Expression Data," Bioinformatics, vol. 18, pp. S136-S144, 2002.
    • (2002) Bioinformatics , vol.18
    • Tanay, A.1    Sharan, R.2    Shamir, R.3
  • 12
    • 78149310670 scopus 로고    scopus 로고
    • OP-Cluster: Clustering by Tendency in High Dimensional Space
    • J. Liu and W. Wang, "OP-Cluster: Clustering by Tendency in High Dimensional Space," Proc. Third IEEE Int'l Conf. Data Mining, pp. 187- 194, 2003.
    • (2003) Proc. Third IEEE Int'l Conf. Data Mining , pp. 187-194
    • Liu, J.1    Wang, W.2
  • 13
    • 84857639680 scopus 로고    scopus 로고
    • Available
    • LCM ver2 Available http://research.nii.ac.jp/̃uno/codes-j.html.
    • LCM ver2
  • 14
    • 34548723854 scopus 로고    scopus 로고
    • Distance Based Subspace Clustering with Flexible Dimension
    • G. Liu,Jinyan, L. Kelvin and L. Wong, "Distance Based Subspace Clustering with Flexible Dimension Partitioning," IEEE, pp. 1250-1254, 2007.
    • (2007) Partitioning, IEEE , pp. 1250-1254
    • Liu, G.1    Jinyan2    Kelvin, L.3    Wong, L.4
  • 15
    • 78651554092 scopus 로고    scopus 로고
    • J. Pei, A. K. Tung, and J. Han., Fault-tolerant frequent pattern mining: Problems and challenges,Workshop on Research Issues in Data Mining and Knowledge Discovery, 2001.
    • J. Pei, A. K. Tung, and J. Han., "Fault-tolerant frequent pattern mining: Problems and challenges,"Workshop on Research Issues in Data Mining and Knowledge Discovery, 2001.
  • 16
    • 0031479641 scopus 로고    scopus 로고
    • Data-Based Choice of Histogram Bin Width
    • M. P. Wand, "Data-Based Choice of Histogram Bin Width," The American Statistician, vol. 51, 1996, pp. 59-64.
    • (1996) The American Statistician , vol.51 , pp. 59-64
    • Wand, M.P.1
  • 18
    • 84857625214 scopus 로고    scopus 로고
    • Available
    • Yeast and Human Dataset. Available http://arep.med.harvard.edu/network discovery.
    • Yeast and Human Dataset
  • 19
    • 78651587374 scopus 로고    scopus 로고
    • SyntheticDatasets. Available http://www.tik.ee.ethz.ch/sop/bimax/ SupplementMatrials,Biclustering.ht ml.
    • SyntheticDatasets. Available http://www.tik.ee.ethz.ch/sop/bimax/ SupplementMatrials,Biclustering.ht ml.
  • 20
    • 72749110363 scopus 로고    scopus 로고
    • Module Discovery in Gene Expression Data Using Closed Itemset Mining Algorithm
    • Y. Okada, W. Fujibuchi and P. Horton, "Module Discovery in Gene Expression Data Using Closed Itemset Mining Algorithm," IPSG transactions in bioinformatics, vol.48, pp39-48, 2007.
    • (2007) IPSG transactions in bioinformatics , vol.48 , pp. 39-48
    • Okada, Y.1    Fujibuchi, W.2    Horton, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.