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Volumn , Issue , 2010, Pages 90-97

A comparison of biclustering algorithms

Author keywords

BicAT; Biclustering; Gene Ontology; Microarray

Indexed keywords

ANNOTATED GENES; BICAT; BICLUSTERING; BICLUSTERING ALGORITHM; BICLUSTERS; BIOLOGICAL INFORMATION; BIOLOGICAL RESEARCH; CLUSTERING METHODS; CO-REGULATED GENES; DATA SETS; DIFFUSE LARGE B-CELL LYMPHOMA; EXPRESSION PATTERNS; GENE GROUPS; GENE ONTOLOGY; GRAPHICAL TOOLS; MICROARRAY DATA; MICROARRAY DATA SETS; MICROARRAY TECHNOLOGIES; PRODUCT ATTRIBUTES; RUN-TIME ANALYSIS; TISSUE CLASSIFICATION;

EID: 79955690330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMB.2010.5735351     Document Type: Conference Paper
Times cited : (11)

References (15)
  • 5
    • 34548735304 scopus 로고    scopus 로고
    • BiVisu: Software tool for bicluster detection and visualization
    • DOI 10.1093/bioinformatics/btm338
    • K. O. Cheng, N.F. Law, W.C. Siu, and T. H. Lau, "BiVisu: software tool for bicluster detection and visualization", Bioinformatics, vol. 23, pp. 2342-2344, 2007. (Pubitemid 47423876)
    • (2007) Bioinformatics , vol.23 , Issue.17 , pp. 2342-2344
    • Cheng, K.O.1    Law, N.F.2    Siu, W.C.3    Lau, T.H.4
  • 7
    • 84864994884 scopus 로고    scopus 로고
    • Iterative signature algorithm for the analysis of large-scale gene expression data
    • American Physical Society
    • S. Bergmann, J. Ihmels, and N. Berkai., "Iterative signature algorithm for the analysis of large-scale gene expression data," in Physical Review, volume 67, pages 1-18. American Physical Society,2003.
    • (2003) Physical Review , vol.67 , pp. 1-18
    • Bergmann, S.1    Ihmels, J.2    Berkai, N.3
  • 9
    • 33646137384 scopus 로고    scopus 로고
    • A systematic comparison and evaluation of biclustering methods for gene expression data
    • Prelic A, Bleuler S, Zimmermann P, Wille A, Buhlmann P, et al. "A systematic comparison and evaluation of biclustering methods for gene expression data." Bioinjormatics 22: 1122-1129, 2006
    • (2006) Bioinjormatics , vol.22 , pp. 1122-1129
    • Prelic, A.1    Bleuler, S.2    Zimmermann, P.3    Wille, A.4    Buhlmann, P.5
  • 10
    • 0041627879 scopus 로고    scopus 로고
    • Extracting conserved gene expression motifs from gene expression data
    • Kauai, Hawaii, 3-7 january
    • T.M. Murali and Simon Kasif, "Extracting conserved gene expression motifs from gene expression data" pacific symposium on biocomptuing, Kauai, Hawaii, 3-7 january 2003.
    • (2003) Pacific Symposium on Biocomptuing
    • Murali, T.M.1    Kasif, S.2
  • 11
    • 71449096659 scopus 로고    scopus 로고
    • Biclusters visualization and detection using parallel 10:21 coordinate plots
    • November 2
    • K.O. Cheng, N.F. Law, and w.e. Siu and A. w.e. Liew, "Biclusters Visualization and Detection Using Parallel 10:21 Coordinate Plots", AlP Conf. Froc., Volume 952, pp. 114-123, November 2,2007.
    • (2007) AlP Conf. Froc. , vol.952 , pp. 114-123
    • Cheng, K.O.1    Law, N.F.2    Siu, W.E.3    Liew, A.W.E.4
  • 12
    • 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, 18 (Suppl. 1), pp. SI36-S144, 2002.
    • (2002) Bioinformatics , vol.18 , Issue.SUPPL. 1
    • Tanay, A.1    Sharan, R.2    Shamir, R.3
  • 13
    • 79955686752 scopus 로고    scopus 로고
    • GOstat: Find statistically overrepresented Gene Ontologies within a group of genes
    • February 12
    • T. Beilbarth and Terence P. Speed, "GOstat: find statistically overrepresented Gene Ontologies within a group of genes", Advance Access Publication, February 12,2004.
    • (2004) Advance Access Publication
    • Beilbarth, T.1    Speed, T.P.2
  • 14
    • 79955677986 scopus 로고    scopus 로고
    • Dataset available on "http://www.cbil.upenn.edu/RAD3/php/download. php".
    • Dataset
  • 15
    • 33845864692 scopus 로고    scopus 로고
    • Computing the maximum similarity bi-clusters of gene expression data
    • DOI 10.1093/bioinformatics/btl560
    • Xiaowen Liu and Lusheng Wang, "Computing the maximum similarity bi-clusters of gene expression data", Bioinformatics,vol. 23, pp.50-56, 2007. (Pubitemid 46017855)
    • (2007) Bioinformatics , vol.23 , Issue.1 , pp. 50-56
    • Liu, X.1    Wang, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.