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Volumn , Issue , 2007, Pages 1343-1346

The sensitivity of spectral clustering applied to gene expression data

Author keywords

Gene expression data; Sensitivity analysis; Singular value decomposition; Spectral clustering

Indexed keywords

CLUSTERING ALGORITHMS; LINEAR ALGEBRA; SENSITIVITY ANALYSIS; STATISTICAL METHODS; TUMORS;

EID: 35348882072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2007.347     Document Type: Conference Paper
Times cited : (2)

References (5)
  • 1
    • 0037316303 scopus 로고    scopus 로고
    • A Comparison of Normalization Methods for High Density Oligonucleotide Array Data Based on Bias and Variance
    • B.M. Bolstad, R.A. Irrazary, M. Astrand, T.P. Speed "A Comparison of Normalization Methods for High Density Oligonucleotide Array Data Based on Bias and Variance", Bioinformatics 2003 19(2):185-193.
    • (2003) Bioinformatics , vol.19 , Issue.2 , pp. 185-193
    • Bolstad, B.M.1    Irrazary, R.A.2    Astrand, M.3    Speed, T.P.4
  • 2
    • 33747878711 scopus 로고    scopus 로고
    • Analysis of the Singular Value Decomposition as a Tool for Processing Microarray Data
    • D.J. Higham, G. Kalna, K. Vass, "Analysis of the Singular Value Decomposition as a Tool for Processing Microarray Data", Proceedings of ALGORITMY 2005, pp. 250-259.
    • Proceedings of ALGORITMY 2005 , pp. 250-259
    • Higham, D.J.1    Kalna, G.2    Vass, K.3
  • 3
    • 26444546442 scopus 로고    scopus 로고
    • An expression signature for p53 status in human breast cancer predicts mutation, status, transcriptional effects, and patient survival
    • L.D. Miller et al. "An expression signature for p53 status in human breast cancer predicts mutation, status, transcriptional effects, and patient survival", Proc Natl Acad Sci 2005 102, 13550-5.
    • (2005) Proc Natl Acad Sci , vol.102 , pp. 13550-13555
    • Miller, L.D.1
  • 4
    • 35348888700 scopus 로고    scopus 로고
    • Stochastic Perturbation Theory
    • Technical Report CS-TR2129, Department of Computer Science, University of Maryland
    • G. W. Stewart, "Stochastic Perturbation Theory", Technical Report CS-TR2129, Department of Computer Science, University of Maryland.
    • Stewart, G.W.1
  • 5
    • 35348896942 scopus 로고    scopus 로고
    • PhD Thesis
    • Z. Stoyanov, PhD Thesis, 2007.
    • (2007)
    • Stoyanov, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.