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Volumn 84, Issue 5, 2007, Pages 585-597

A novel pattern based clustering methodology for time-series microarray data

Author keywords

Biological pattern recognition; Clustering; Co expressed genes; Data mining; Time series microarray data

Indexed keywords

CLUSTERING ALGORITHMS; DATA MINING; GENE EXPRESSION; PATTERN RECOGNITION; PHASE MODULATION; SEMANTICS; TIME SERIES ANALYSIS; YEAST;

EID: 34547368237     PISSN: 00207160     EISSN: 10290265     Source Type: Journal    
DOI: 10.1080/00207160701203419     Document Type: Article
Times cited : (14)

References (36)
  • 1
    • 2942572926 scopus 로고    scopus 로고
    • Quantifying the relationship between co-expression, coregulation and gene function
    • Allocco, D.J., Kohane, I.S. and Butte, A.J., 2004, Quantifying the relationship between co-expression, coregulation and gene function. BMC Bioinformatics, 5, 18.
    • (2004) BMC Bioinformatics , vol.5 , pp. 18
    • Allocco, D.J.1    Kohane, I.S.2    Butte, A.J.3
  • 2
  • 3
    • 0034910345 scopus 로고    scopus 로고
    • Navigating gene expression using microarrays: A technology review
    • Schulze, A. and Downward, J., 2001, Navigating gene expression using microarrays: a technology review. Nature Cell Biology, 3, E190-E195.
    • (2001) Nature Cell Biology , vol.3
    • Schulze, A.1    Downward, J.2
  • 4
    • 4844229238 scopus 로고    scopus 로고
    • From co-expression to co-regulation: How many microarray experiments do we need?
    • Yeung, K.Y., Medvedovic, M. and Bumgarner, R.E., 2004, From co-expression to co-regulation: how many microarray experiments do we need? Genome Biology, 5, R48.
    • (2004) Genome Biology , vol.5
    • Yeung, K.Y.1    Medvedovic, M.2    Bumgarner, R.E.3
  • 5
    • 0141974934 scopus 로고    scopus 로고
    • EXCAVATOR: A computer program for efficiently mining gene expression data
    • Xu, D., Olman, V., Wang, L. and Xu, Y., 2003, EXCAVATOR: a computer program for efficiently mining gene expression data. Nucleic Acids Research, 31, 5582-5589.
    • (2003) Nucleic Acids Research , vol.31 , pp. 5582-5589
    • Xu, D.1    Olman, V.2    Wang, L.3    Xu, Y.4
  • 6
    • 0003578015 scopus 로고
    • London: Heinemann Educational
    • Everitt, B., 1974, Cluster Analysis (London: Heinemann Educational).
    • (1974) Cluster Analysis
    • Everitt, B.1
  • 11
    • 28644452470 scopus 로고    scopus 로고
    • Clustering short time series gene expression data
    • Ernst, J., Nau, G.J. and Bar-Joseph, Z., 2005, Clustering short time series gene expression data. Bioinformatics, 21, i159-i168.
    • (2005) Bioinformatics , vol.21
    • Ernst, J.1    Nau, G.J.2    Bar-Joseph, Z.3
  • 12
    • 33646344978 scopus 로고    scopus 로고
    • STEM: A tool for the analysis of short time series gene expression data
    • Ernst, J. and Bar-Joseph, Z., 2006, STEM: a tool for the analysis of short time series gene expression data. BMC Bioinformatics, 7, 191.
    • (2006) BMC Bioinformatics , vol.7 , pp. 191
    • Ernst, J.1    Bar-Joseph, Z.2
  • 13
    • 15344343088 scopus 로고    scopus 로고
    • DNA microarray data clustering based on temporal variation: FCV with TSD preclustering
    • Möller-Levet, C.S., Chu, K.H. and Wolkenhauer, O., 2003, DNA microarray data clustering based on temporal variation: FCV with TSD preclustering. Applied Bioinformatics, 2, 35-45.
    • (2003) Applied Bioinformatics , vol.2 , pp. 35-45
    • Möller-Levet, C.S.1    Chu, K.H.2    Wolkenhauer, O.3
  • 14
    • 27544456906 scopus 로고    scopus 로고
    • Identifying genes from up-down properties of microarray expression series
    • Willbrand, K., Radvanyi, F., Nadal, J.P., Thiery, J.P. and Fink, T.M., 2005, Identifying genes from up-down properties of microarray expression series. Bioinformatics, 21, 3859-3864.
    • (2005) Bioinformatics , vol.21 , pp. 3859-3864
    • Willbrand, K.1    Radvanyi, F.2    Nadal, J.P.3    Thiery, J.P.4    Fink, T.M.5
  • 20
    • 10944254808 scopus 로고    scopus 로고
    • Discovery of functional genes for systemic acquired resistance in Arabidopsis thaliana through integrated data mining
    • Pan, Y., Pylatuik, J.D., Ouyang, J., Famili, F. and Fobert, P.R., 2004, Discovery of functional genes for systemic acquired resistance in Arabidopsis thaliana through integrated data mining. Journal of Bioinformatics and Computational Biology 2, 639-655.
    • (2004) Journal of Bioinformatics and Computational Biology , vol.2 , pp. 639-655
    • Pan, Y.1    Pylatuik, J.D.2    Ouyang, J.3    Famili, F.4    Fobert, P.R.5
  • 23
    • 34547373354 scopus 로고    scopus 로고
    • Advances in the discovery of cis-regulatory elements
    • Pan, Y., 2006, Advances in the discovery of cis-regulatory elements. Current Bioinformatics, 1, 321-336.
    • (2006) Current Bioinformatics , vol.1 , pp. 321-336
    • Pan, Y.1
  • 24
    • 1442302521 scopus 로고    scopus 로고
    • Data mining: Understanding data and disease modeling
    • Famili, A.F. and Ouyang, J., 2003, Data mining: understanding data and disease modeling, Applied Informatics, 378, 32-37.
    • (2003) Applied Informatics , vol.378 , pp. 32-37
    • Famili, A.F.1    Ouyang, J.2
  • 25
    • 0034069495 scopus 로고    scopus 로고
    • Gene ontology: Tool for the unification of biology
    • Gene Ontology Consortium
    • Gene Ontology Consortium, 2000, Gene ontology: tool for the unification of biology. Nature Genetics, 25, 25-29.
    • (2000) Nature Genetics , vol.25 , pp. 25-29
  • 31
  • 32
    • 1642555931 scopus 로고    scopus 로고
    • Transcription factors involved in development and progression of malignant melanoma
    • Poser, I. and Bosserhoff, A.K., 2004, Transcription factors involved in development and progression of malignant melanoma. Histology and Histopathology, 19, 173-188.
    • (2004) Histology and Histopathology , vol.19 , pp. 173-188
    • Poser, I.1    Bosserhoff, A.K.2
  • 33
    • 0037172724 scopus 로고    scopus 로고
    • A prediction-based resampling method for estimating the number of clusters in a dataset
    • Dudoit, S. and Fridlyand, J., 2002, A prediction-based resampling method for estimating the number of clusters in a dataset. Genome Biology, 3, R36.
    • (2002) Genome Biology , vol.3
    • Dudoit, S.1    Fridlyand, J.2
  • 34
    • 3543054548 scopus 로고    scopus 로고
    • Evaluation and optimization of clustering in gene expression data analysis
    • Famili, A.F., Liu, G. and Liu, Z., 2004, Evaluation and optimization of clustering in gene expression data analysis. Bioinformatics, 20, 1535-1545.
    • (2004) Bioinformatics , vol.20 , pp. 1535-1545
    • Famili, A.F.1    Liu, G.2    Liu, Z.3
  • 35
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • Milligan, G. and Cooper, M., 1985, An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50, 159-179.
    • (1985) Psychometrika , vol.50 , pp. 159-179
    • Milligan, G.1    Cooper, M.2
  • 36
    • 0023453329 scopus 로고
    • Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
    • Rousseeuw, P.J., 1987, Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53-65.
    • (1987) Journal of Computational and Applied Mathematics , vol.20 , pp. 53-65
    • Rousseeuw, P.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.