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Volumn 6160 LNBI, Issue , 2010, Pages 254-265

A novel approach for biclustering gene expression data using modular singular value decomposition

Author keywords

[No Author keywords available]

Indexed keywords

BICLUSTERING; CO-CLUSTERING; COLUMN DIMENSIONS; DATA MATRICES; DATA SETS; GENE EXPRESSION DATA; MACHINE-LEARNING; STATISTICAL DATA ANALYSIS;

EID: 77955816651     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14571-1_19     Document Type: Conference Paper
Times cited : (9)

References (36)
  • 1
    • 77955806889 scopus 로고    scopus 로고
    • http://www.affymetrix.com/analysis/index.affix
  • 4
    • 77955789804 scopus 로고    scopus 로고
    • Syntren: A generator of synthetic gene expression data for design and analysis of structure learning algorithm
    • Blucke, Leemput, Naudts, Remortel, Ma, Verschoren, Moor, Marchal: Syntren: a generator of synthetic gene expression data for design and analysis of structure learning algorithm. BMC Bioinformatics 7, 1-16 (2006)
    • (2006) BMC Bioinformatics , vol.7 , pp. 1-16
    • Blucke, L.1    Naudts, R.2    Ma, V.3    Moor, M.4
  • 8
    • 0035789644 scopus 로고    scopus 로고
    • Co-clustering documents and words using bipartite spectral graph partitioning
    • Dhillon, I.S.: Co-clustering documents and words using bipartite spectral graph partitioning. In: Proceedings of the 7th ACM SIGKDD, pp. 269-274 (2001)
    • (2001) Proceedings of the 7th ACM SIGKDD , pp. 269-274
    • Dhillon, I.S.1
  • 9
    • 33646137384 scopus 로고    scopus 로고
    • A systematic comparison and evaluation of biclustering methods for gene expression data
    • Prelic, A., et al.: A systematic comparison and evaluation of biclustering methods for gene expression data. Bioinformatics 22, 1122-1129 (2006)
    • (2006) Bioinformatics , vol.22 , pp. 1122-1129
    • Prelic, A.1
  • 12
    • 43849109594 scopus 로고    scopus 로고
    • Discovering biclusters in gene expression data based on high dimensional linear geometries
    • Gan, X., Alan, Yan, H.: Discovering biclusters in gene expression data based on high dimensional linear geometries. BMC Bioinformatics 9, 209-223 (2008)
    • (2008) BMC Bioinformatics , vol.9 , pp. 209-223
    • Gan, X.1    Alan2    Yan, H.3
  • 15
    • 0034568109 scopus 로고    scopus 로고
    • 'Gene shaving' as a method for identifying distinct set of genes with similar expression patterns
    • Hastie, T., Levine, E., Domany, E.: 'Gene shaving' as a method for identifying distinct set of genes with similar expression patterns. Genome Biology 1, 0003.1-0003.21 (2000)
    • (2000) Genome Biology , vol.1
    • Hastie, T.1    Levine, E.2    Domany, E.3
  • 17
    • 4544339167 scopus 로고    scopus 로고
    • Defining transcription modules using large-scale gene expression data
    • Ihmels, J., Bergmann, S., Barkai, N.: Defining transcription modules using large-scale gene expression data. Bioinformatics 20, 1993-2003 (2004)
    • (2004) Bioinformatics , vol.20 , pp. 1993-2003
    • Ihmels, J.1    Bergmann, S.2    Barkai, N.3
  • 19
    • 0037399130 scopus 로고    scopus 로고
    • Spectral biclustering of microarray data: Co-clustering genes and conditions
    • Kluger, Y., Basri, Chang, Gerstein: Spectral biclustering of microarray data: Co-clustering genes and conditions. Genome Research 13, 703-716 (2003)
    • (2003) Genome Research , vol.13 , pp. 703-716
    • Kluger, Y.1    Basri2    Chang3    Gerstein4
  • 22
    • 33845864692 scopus 로고    scopus 로고
    • Computing the maximum similarity bi-clusters of gene expression data
    • Liu, X., Wang, L.: Computing the maximum similarity bi-clusters of gene expression data. Bioinformatics 23, 50-56 (2007)
    • (2007) Bioinformatics , vol.23 , pp. 50-56
    • Liu, X.1    Wang, L.2
  • 24
    • 33748417841 scopus 로고    scopus 로고
    • Mulit-objective evolutionary biclustering of gene expression data
    • Mitra, S., Banka, H.: Mulit-objective evolutionary biclustering of gene expression data. Pattern Recognition 39, 2464-2477 (2006)
    • (2006) Pattern Recognition , vol.39 , pp. 2464-2477
    • Mitra, S.1    Banka, H.2
  • 25
    • 33748417841 scopus 로고    scopus 로고
    • Multi-objective evolutionary biclustering of gene expression data
    • Mitra, S., Banka, H.: Multi-objective evolutionary biclustering of gene expression data. Pattern Recognition 39, 2464-2477 (2006)
    • (2006) Pattern Recognition , vol.39 , pp. 2464-2477
    • Mitra, S.1    Banka, H.2
  • 26
    • 0036578795 scopus 로고    scopus 로고
    • Network motifs in the transcriptional regulation network of escherichia coli
    • Orr, S.: Network motifs in the transcriptional regulation network of escherichia coli. Nature Genetics 31, 64-68 (2002)
    • (2002) Nature Genetics , vol.31 , pp. 64-68
    • Orr, S.1
  • 28
    • 11244306358 scopus 로고    scopus 로고
    • Discovering statistically significant biclusters in gene expression data
    • Tanay, A., Sharan, R., Shamir, R.: Discovering statistically significant biclusters in gene expression data. Bioinformatics 18, 136-144 (2002)
    • (2002) Bioinformatics , vol.18 , pp. 136-144
    • Tanay, A.1    Sharan, R.2    Shamir, R.3
  • 31
    • 28044443828 scopus 로고    scopus 로고
    • A partitioning based algorithm to fuzzy co-cluster documents and words
    • Tjhi, W.C., Chen, L.: A partitioning based algorithm to fuzzy co-cluster documents and words. Pattern Recognition Letters 27, 151-159 (2006)
    • (2006) Pattern Recognition Letters , vol.27 , pp. 151-159
    • Tjhi, W.C.1    Chen, L.2
  • 35
    • 39649088953 scopus 로고    scopus 로고
    • A new geometric biclustering algorithm based on the Hough transform for analysis of large scale microarray data
    • Zhao, H., Alan, Xie, X., Yan, H.: A new geometric biclustering algorithm based on the Hough transform for analysis of large scale microarray data. Journal of Theoretical Biology 251, 264-274 (2008)
    • (2008) Journal of Theoretical Biology , vol.251 , pp. 264-274
    • Zhao, H.1    Alan2    Xie, X.3    Yan, H.4
  • 36
    • 35348835980 scopus 로고    scopus 로고
    • Hough feature, a novel method for assessing drug effects in three-color cdna microarray experiments
    • Zhao, H., Yan, H.: Hough feature, a novel method for assessing drug effects in three-color cdna microarray experiments. BMC Bioinformatics 8, 256 (2007)
    • (2007) BMC Bioinformatics , vol.8 , pp. 256
    • Zhao, H.1    Yan, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.