메뉴 건너뛰기




Volumn , Issue , 2011, Pages 6012-6015

Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor model

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING INFORMATION; COMPUTATIONAL RECONSTRUCTION; FACTOR MODEL; GENE REGULATIONS; GLIOBLASTOMAS; MICROARRAY DATA; MICRORNAS; PROTEIN LEVEL; REGULATORY EFFECTS; SIMULATED SYSTEM; TARGET GENES; TECHNICAL LIMITATIONS; TRANSCRIPTIONAL NETWORKS; TRANSCRIPTIONAL REGULATION;

EID: 80051657837     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947732     Document Type: Conference Paper
Times cited : (6)

References (19)
  • 1
    • 41349096445 scopus 로고    scopus 로고
    • Gene regulation by transcription factors and microRNAs
    • O. Hobert, "Gene regulation by transcription factors and microRNAs," Science, vol. 319, no. 5871, p. 1785, 2008.
    • (2008) Science , vol.319 , Issue.5871 , pp. 1785
    • Hobert, O.1
  • 2
    • 85032751772 scopus 로고    scopus 로고
    • Reverse engineering gene regulatory networks: A survey of statistical models
    • Y. Huang, I. Tienda-Luna, and Y. Wang, "Reverse engineering gene regulatory networks: A survey of statistical models," IEEE Signal Processing Magazine, vol. 26, no. 1, pp. 76-97, 2009.
    • (2009) IEEE Signal Processing Magazine , vol.26 , Issue.1 , pp. 76-97
    • Huang, Y.1    Tienda-Luna, I.2    Wang, Y.3
  • 3
    • 0141920354 scopus 로고    scopus 로고
    • Comparing protein abundance and mRNA expression levels on a genomic scale
    • D. Greenbaum, C. Colangelo, K.Williams, and M. Gerstein, "Comparing protein abundance and mRNA expression levels on a genomic scale," Genome Biol, vol. 4, no. 9, p. 117, 2003.
    • (2003) Genome Biol , vol.4 , Issue.9 , pp. 117
    • Greenbaum, D.1    Colangelo, C.2    Williams, K.3    Gerstein, M.4
  • 7
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • T. Ferguson, "A Bayesian analysis of some nonparametric problems," The annals of statistics, vol. 1, no. 2, pp. 209-230, 1973.
    • (1973) The Annals of Statistics , vol.1 , Issue.2 , pp. 209-230
    • Ferguson, T.1
  • 9
    • 0037276175 scopus 로고    scopus 로고
    • Statistical tests for differential expression in cDNA microarray experiments
    • X. Cui and G. Churchill, "Statistical tests for differential expression in cDNA microarray experiments," Genome Biol, vol. 4, no. 4, p. 210, 2003.
    • (2003) Genome Biol , vol.4 , Issue.4 , pp. 210
    • Cui, X.1    Churchill, G.2
  • 12
    • 38549146907 scopus 로고    scopus 로고
    • DBD-taxonomically broad transcription factor predictions: New content and functionality
    • D. Wilson, V. Charoensawan, S. Kummerfeld, and S. Teichmann, "DBD-taxonomically broad transcription factor predictions: new content and functionality," Nucleic Acids Research, vol. 36, no. Database issue, p. D88, 2008.
    • (2008) Nucleic Acids Research , vol.36 , Issue.NO. DATABASE
    • Wilson, D.1    Charoensawan, V.2    Kummerfeld, S.3    Teichmann, S.4
  • 14
    • 80051660829 scopus 로고    scopus 로고
    • Cancer Genome Atlas
    • T. Hampton, "Cancer Genome Atlas," JAMA, vol. 296, no. 16, p. 1958, 2006.
    • (2006) JAMA , vol.296 , Issue.16 , pp. 1958
    • Hampton, T.1
  • 15
  • 17
    • 60149106101 scopus 로고    scopus 로고
    • Non-negative matrix factorization of gene expression profiles: A plug-in for BRB-ArrayTools
    • Q. Qi, Y. Zhao, M. Li, and R. Simon, "Non-negative matrix factorization of gene expression profiles: a plug-in for BRB-ArrayTools," Bioinformatics, vol. 25, no. 4, p. 545, 2009.
    • (2009) Bioinformatics , vol.25 , Issue.4 , pp. 545
    • Qi, Q.1    Zhao, Y.2    Li, M.3    Simon, R.4
  • 18
    • 0037810449 scopus 로고    scopus 로고
    • Subsystem identification through dimensionality reduction of large-scale gene expression data
    • P. Kim and B. Tidor, "Subsystem identification through dimensionality reduction of large-scale gene expression data," Genome Research, vol. 13, no. 7, p. 1706, 2003.
    • (2003) Genome Research , vol.13 , Issue.7 , pp. 1706
    • Kim, P.1    Tidor, B.2
  • 19
    • 49849097634 scopus 로고    scopus 로고
    • The relationships among various nonnegative matrix factorization methods for clustering
    • T. Li and C. Ding, "The relationships among various nonnegative matrix factorization methods for clustering," in Data Mining, 2006. ICDM'06. Sixth International Conference on, 2006, pp. 362-371.
    • (2006) Data Mining, 2006. ICDM'06. Sixth International Conference on , pp. 362-371
    • Li, T.1    Ding, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.