메뉴 건너뛰기




Volumn 45, Issue 2-3, 2009, Pages 173-183

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis

Author keywords

DNA microarrays; Ensemble clustering; Fuzzy clustering; Gene expression data clustering; Random projections; Random subspace

Indexed keywords

DNA MICROARRAYS; ENSEMBLE CLUSTERING; GENE EXPRESSION DATA CLUSTERING; RANDOM PROJECTIONS; RANDOM SUBSPACE;

EID: 61449214257     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2008.07.014     Document Type: Article
Times cited : (86)

References (35)
  • 2
    • 5644251671 scopus 로고    scopus 로고
    • Gene expression profiling in uveal melanoma reveals two molecular classes and predicts metastatic death
    • Onken M., Worley L., Ehlers J., and Harbour J. Gene expression profiling in uveal melanoma reveals two molecular classes and predicts metastatic death. Cancer Research 64 October (2004) 7205-7209
    • (2004) Cancer Research , vol.64 , Issue.October , pp. 7205-7209
    • Onken, M.1    Worley, L.2    Ehlers, J.3    Harbour, J.4
  • 3
    • 33750946376 scopus 로고    scopus 로고
    • Functional interpretation of microarray experiments
    • Dopazo J. Functional interpretation of microarray experiments. OMICS 3 September (10) (2006)
    • (2006) OMICS , vol.3 , Issue.September 10
    • Dopazo, J.1
  • 4
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles-a knowledge reuse framework for combining multiple partitions
    • Strehl A., and Ghosh J. Cluster ensembles-a knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research 3 January (2003) 583-617
    • (2003) Journal of Machine Learning Research , vol.3 , Issue.January , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 5
    • 1942517297 scopus 로고    scopus 로고
    • Random projections for high dimensional data clustering: a cluster ensemble approach
    • Fawcett T., and Mishra N. (Eds), AAAI Press, Washington, D.C., USA
    • Fern X., and Brodley C. Random projections for high dimensional data clustering: a cluster ensemble approach. In: Fawcett T., and Mishra N. (Eds). Machine learning, proceedings of the twentieth international conference (ICML 2003) (2003), AAAI Press, Washington, D.C., USA
    • (2003) Machine learning, proceedings of the twentieth international conference (ICML 2003)
    • Fern, X.1    Brodley, C.2
  • 7
    • 33947159574 scopus 로고    scopus 로고
    • Evaluation of stability of k-means cluster ensembles with respect to random initialization
    • Kuncheva L., and Vetrov D. Evaluation of stability of k-means cluster ensembles with respect to random initialization. IEEE Transactions on Pattern Analysis and Machine Intelligence 28 11 (2006) 1798-1808
    • (2006) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.28 , Issue.11 , pp. 1798-1808
    • Kuncheva, L.1    Vetrov, D.2
  • 8
    • 24944539029 scopus 로고    scopus 로고
    • Consensus clustering and functional interpretation of gene-expression data
    • Swift S., Tucker A., Vinciotti V., Martin N., Orengo C., and Liu X. Consensus clustering and functional interpretation of gene-expression data. Genome Biology 5 11 (2004) 94
    • (2004) Genome Biology , vol.5 , Issue.11 , pp. 94
    • Swift, S.1    Tucker, A.2    Vinciotti, V.3    Martin, N.4    Orengo, C.5    Liu, X.6
  • 9
    • 0038391443 scopus 로고    scopus 로고
    • Bagging to improve the accuracy of a clustering procedure
    • Dudoit S., and Fridlyand J. Bagging to improve the accuracy of a clustering procedure. Bioinformatics 19 9 (2003) 1090-1099
    • (2003) Bioinformatics , vol.19 , Issue.9 , pp. 1090-1099
    • Dudoit, S.1    Fridlyand, J.2
  • 10
    • 0038724494 scopus 로고    scopus 로고
    • Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data
    • Monti S., Tamayo P., Mesirov J., and Golub T. Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data. Machine Learning 52 1/2 (2003) 91-118
    • (2003) Machine Learning , vol.52 , Issue.1-2 , pp. 91-118
    • Monti, S.1    Tamayo, P.2    Mesirov, J.3    Golub, T.4
  • 11
    • 33745772326 scopus 로고    scopus 로고
    • Cluster ensemble and its applications in gene expression analysis
    • Dunedin, New-Zealand, Australian Computer Society Inc., Darlinghurst, Australia
    • Hu X., and Yoo I. Cluster ensemble and its applications in gene expression analysis. Proceedings of the 2nd Asia-Pacific bioinformatics conference. Dunedin, New-Zealand (2004), Australian Computer Society Inc., Darlinghurst, Australia 297-302
    • (2004) Proceedings of the 2nd Asia-Pacific bioinformatics conference , pp. 297-302
    • Hu, X.1    Yoo, I.2
  • 12
    • 30344442460 scopus 로고    scopus 로고
    • Robust multi-scale clustering of large DNA microarray data sets with the consensus algorithm
    • Grotkjaer T., Winther O., Regenberg B., Nielsen J., and Hansen L. Robust multi-scale clustering of large DNA microarray data sets with the consensus algorithm. Bioinformatics 22 1 (2006) 58-67
    • (2006) Bioinformatics , vol.22 , Issue.1 , pp. 58-67
    • Grotkjaer, T.1    Winther, O.2    Regenberg, B.3    Nielsen, J.4    Hansen, L.5
  • 13
    • 36448947175 scopus 로고    scopus 로고
    • Graph based consensus clustering for class discovery from gene expression data
    • Yu Z., Wong H., and Wang H. Graph based consensus clustering for class discovery from gene expression data. Bioinformatics 23 21 (2007) 2888-2896
    • (2007) Bioinformatics , vol.23 , Issue.21 , pp. 2888-2896
    • Yu, Z.1    Wong, H.2    Wang, H.3
  • 14
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L. Bagging predictors. Machine Learning 24 2 (1996) 123-140
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 16
    • 37249013318 scopus 로고    scopus 로고
    • Randomized embedding cluster ensembles for gene expression data analysis
    • technologies of information and telecommunications. Hammamet, Tunisia;
    • Bertoni A, Valentini G. Randomized embedding cluster ensembles for gene expression data analysis. In: SETIT 2007-IEEE international conference on sciences of electronic, technologies of information and telecommunications. Hammamet, Tunisia; 2007.
    • (2007) SETIT 2007-IEEE international conference on sciences of electronic
    • Bertoni, A.1    Valentini, G.2
  • 17
    • 33744534403 scopus 로고    scopus 로고
    • Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses
    • Bertoni A., and Valentini G. Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses. Artificial Intelligence in Medicine 37 2 (2006) 85-109
    • (2006) Artificial Intelligence in Medicine , vol.37 , Issue.2 , pp. 85-109
    • Bertoni, A.1    Valentini, G.2
  • 18
    • 34249855008 scopus 로고    scopus 로고
    • Model order selection for bio-molecular data clustering
    • Bertoni A., and Valentini G. Model order selection for bio-molecular data clustering. BMC Bioinformatics 8 May (Suppl. 2) (2007)
    • (2007) BMC Bioinformatics , vol.8 , Issue.May SUPPL. 2
    • Bertoni, A.1    Valentini, G.2
  • 19
    • 0037057374 scopus 로고    scopus 로고
    • Exploring the conditional regulation of yeast gene expression through fuzzy k-means clustering
    • Gasch P., and Eisen M. Exploring the conditional regulation of yeast gene expression through fuzzy k-means clustering. Genome Biology 3 11 (2002) 1-22
    • (2002) Genome Biology , vol.3 , Issue.11 , pp. 1-22
    • Gasch, P.1    Eisen, M.2
  • 21
    • 0001654702 scopus 로고
    • Extensions of Lipshitz mapping into Hilbert space. Conference in modern analysis and probability, vol. 26 of Contemporary Mathematics
    • Johnson W., and Lindenstrauss J. Extensions of Lipshitz mapping into Hilbert space. Conference in modern analysis and probability, vol. 26 of Contemporary Mathematics. American Mathematical Society (1984) 189-206
    • (1984) American Mathematical Society , pp. 189-206
    • Johnson, W.1    Lindenstrauss, J.2
  • 23
    • 0035789317 scopus 로고    scopus 로고
    • Random projection in dimensionality reduction: applications to image and text data
    • ACM, San Francisco, CA, USA
    • Bingham E., and Mannila H. Random projection in dimensionality reduction: applications to image and text data. Proceedings of the KDD 01 (2001), ACM, San Francisco, CA, USA
    • (2001) Proceedings of the KDD 01
    • Bingham, E.1    Mannila, H.2
  • 24
    • 0642367624 scopus 로고    scopus 로고
    • Cluster stability scores for microarray data in cancer studies
    • Smolkin M., and Gosh D. Cluster stability scores for microarray data in cancer studies. BMC Bioinformatics 36 4 (2003)
    • (2003) BMC Bioinformatics , vol.36 , Issue.4
    • Smolkin, M.1    Gosh, D.2
  • 26
    • 18244409933 scopus 로고    scopus 로고
    • Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
    • Shipp M., Ross K., Tamayo P., Weng A., Kutok J., and Aguiar R. Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nature Medicine 8 1 (2002) 68-74
    • (2002) Nature Medicine , vol.8 , Issue.1 , pp. 68-74
    • Shipp, M.1    Ross, K.2    Tamayo, P.3    Weng, A.4    Kutok, J.5    Aguiar, R.6
  • 27
    • 0037226593 scopus 로고    scopus 로고
    • A molecular signature of metastasis in primary solid tumors
    • Ramaswamy S., Ross K., Lander E., and Golub T. A molecular signature of metastasis in primary solid tumors. Nature Genetics 33 (2003) 49-54
    • (2003) Nature Genetics , vol.33 , pp. 49-54
    • Ramaswamy, S.1    Ross, K.2    Lander, E.3    Golub, T.4
  • 28
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
    • Golub T., Slonim D.K., Tamayo P., Huard C., Gaasenbeek M., and Mesirov J.P. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286 (1999) 531-537
    • (1999) Science , vol.286 , pp. 531-537
    • Golub, T.1    Slonim, D.K.2    Tamayo, P.3    Huard, C.4    Gaasenbeek, M.5    Mesirov, J.P.6
  • 29
    • 0034601455 scopus 로고    scopus 로고
    • Molecular classification of malignant melanoma by gene expression profiling
    • Bittner M., Meltzer P., Chen Y., Jiang Y., Seftor E., and Hendrix M. Molecular classification of malignant melanoma by gene expression profiling. Nature 406 (2000) 536-540
    • (2000) Nature , vol.406 , pp. 536-540
    • Bittner, M.1    Meltzer, P.2    Chen, Y.3    Jiang, Y.4    Seftor, E.5    Hendrix, M.6
  • 30
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward J. Hierarchical grouping to optimize an objective function. Journal of American Statistical Association 58 301 (1963) 236-244
    • (1963) Journal of American Statistical Association , vol.58 , Issue.301 , pp. 236-244
    • Ward, J.1
  • 31
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting and randomization
    • Dietterich T. An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting and randomization. Machine Learning 40 2 (2000) 139-158
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 139-158
    • Dietterich, T.1
  • 32
  • 34
    • 0038166193 scopus 로고    scopus 로고
    • Database-friendly random projections: Johnson-Lindenstrauss with binary coins
    • Achlioptas D. Database-friendly random projections: Johnson-Lindenstrauss with binary coins. Journal of Computer & System Sciences 66 4 (2003) 671-687
    • (2003) Journal of Computer & System Sciences , vol.66 , Issue.4 , pp. 671-687
    • Achlioptas, D.1
  • 35
    • 32144440622 scopus 로고    scopus 로고
    • Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data
    • Valentini G. Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data. Bioinformatics 22 3 (2006) 369-370
    • (2006) Bioinformatics , vol.22 , Issue.3 , pp. 369-370
    • Valentini, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.