메뉴 건너뛰기




Volumn 27, Issue 11, 2011, Pages 1529-1536

Inferring Boolean network structure via correlation

Author keywords

[No Author keywords available]

Indexed keywords

ESCHERICHIA COLI;

EID: 79957872153     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr166     Document Type: Article
Times cited : (44)

References (31)
  • 2
    • 2942606066 scopus 로고    scopus 로고
    • Structure and evolution of transcriptional regulatory networks
    • Babu,M. et al. (2004) Structure and evolution of transcriptional regulatory networks. Curr. Opin. Struct. Biol., 14, 283-291.
    • (2004) Curr. Opin. Struct. Biol. , vol.14 , pp. 283-291
    • Babu, M.1
  • 3
    • 27144450537 scopus 로고    scopus 로고
    • Systems biology: less is more in modeling large genetic networks
    • Bornholdt,S. (2005) Systems biology: less is more in modeling large genetic networks. Science, 21, 449-451.
    • (2005) Science , vol.21 , pp. 449-451
    • Bornholdt, S.1
  • 4
    • 0030197679 scopus 로고    scopus 로고
    • On the fourier spectrum of monotone functions
    • Bshouty,N. and Tamon,C. (1996) On the fourier spectrum of monotone functions. J. ACM (JACM), 43, 747-770.
    • (1996) J. ACM (JACM) , vol.43 , pp. 747-770
    • Bshouty, N.1    Tamon, C.2
  • 5
    • 0032112293 scopus 로고    scopus 로고
    • A genome-wide transcriptional analysis of the mitotic cell cycle
    • Cho,R. et al. (1998) A genome-wide transcriptional analysis of the mitotic cell cycle. Mol. Cell, 2, 65-73.
    • (1998) Mol. Cell , vol.2 , pp. 65-73
    • Cho, R.1
  • 6
    • 2342648924 scopus 로고    scopus 로고
    • Integrating high-throughput and computational data elucidates bacterial networks
    • Covert,M. et al. (2004) Integrating high-throughput and computational data elucidates bacterial networks. Nature, 429, 92-96.
    • (2004) Nature , vol.429 , pp. 92-96
    • Covert, M.1
  • 7
    • 33846400424 scopus 로고    scopus 로고
    • Large-scale mapping and validation of escherichia coli transcriptional regulation from a compendium of expression profiles
    • Faith,J. et al. (2007) Large-scale mapping and validation of escherichia coli transcriptional regulation from a compendium of expression profiles. PLoS Biol., 5, e8.
    • (2007) PLoS Biol. , vol.5
    • Faith, J.1
  • 8
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • Fawcett,T. (2006) An introduction to ROC analysis. Pattern Recognit. Lett., 27, 861-874.
    • (2006) Pattern Recognit. Lett. , vol.27 , pp. 861-874
    • Fawcett, T.1
  • 9
    • 36149029747 scopus 로고
    • The statistical distribution of Boolean gates in two- inputs, one-output multilayered neural networks
    • Gordon,M. and Peretto,P. (1990) The statistical distribution of Boolean gates in two- inputs, one-output multilayered neural networks. J. Phys. A Math. Gen., 23, 3061.
    • (1990) J. Phys. A Math. Gen. , vol.23 , pp. 3061
    • Gordon, M.1    Peretto, P.2
  • 10
    • 84947403595 scopus 로고
    • Probability inequalities for sums of bounded random variables
    • Hoeffding,W. (1963) Probability inequalities for sums of bounded random variables. J. Am. Stat. Assoc., 58, 13-30.
    • (1963) J. Am. Stat. Assoc. , vol.58 , pp. 13-30
    • Hoeffding, W.1
  • 11
    • 0014489272 scopus 로고
    • Metabolic stability and epigenesis in randomly constructed genetic nets
    • Kauffman,S. (1969) Metabolic stability and epigenesis in randomly constructed genetic nets. J. Theor. Biol., 22, 437-467.
    • (1969) J. Theor. Biol. , vol.22 , pp. 437-467
    • Kauffman, S.1
  • 13
    • 0345598902 scopus 로고    scopus 로고
    • Random Boolean network models and they east transcriptional network
    • Kauffman,S. et al. (2003) Random Boolean network models and they east transcriptional network. Proc. Natl Acad. Sci. USA, 100, 14796-14799.
    • (2003) Proc. Natl Acad. Sci. USA , vol.100 , pp. 14796-14799
    • Kauffman, S.1
  • 14
    • 0038047901 scopus 로고    scopus 로고
    • On learning gene regulatory networks under the boolean network model
    • Lähdesmäki,H. et al. (2003) On learning gene regulatory networks under the boolean network model. Mach. Learn., 52, 147-167.
    • (2003) Mach. Learn. , vol.52 , pp. 147-167
    • Lähdesmäki, H.1
  • 15
    • 0031616241 scopus 로고    scopus 로고
    • Reveal, a general reverse engineering algorithm for inference of genetic network architectures
    • Liang,S. et al. (1998) Reveal, a general reverse engineering algorithm for inference of genetic network architectures. Pac. Symp. Biocomput., 3, 18-29.
    • (1998) Pac. Symp. Biocomput. , vol.3 , pp. 18-29
    • Liang, S.1
  • 16
    • 33947305781 scopus 로고    scopus 로고
    • Aracne: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context
    • Margolin,A. et al. (2006)Aracne: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context. BMC Bioinformatics, 7,S7.
    • (2006) BMC Bioinformatics , vol.7
    • Margolin, A.1
  • 18
    • 77952851181 scopus 로고    scopus 로고
    • BoolNet - an R package for generation, reconstruction, and analysis of Boolean networks
    • Müssel,C. et al. (2010) BoolNet - an R package for generation, reconstruction, and analysis of Boolean networks. Bioinformatics, 26, 1378-1380.
    • (2010) Bioinformatics , vol.26 , pp. 1378-1380
    • Müssel, C.1
  • 19
    • 34249862287 scopus 로고    scopus 로고
    • Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process
    • Opgen-Rhein,R. and Strimmer,K. (2007) Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process. BMC Bioinformatics, 8 (Suppl. 2), S3.
    • (2007) BMC Bioinformatics , vol.8 , Issue.SUPPL. 2
    • Opgen-Rhein, R.1    Strimmer, K.2
  • 20
    • 45149097650 scopus 로고    scopus 로고
    • Global control of cell-cycle transcription by coupled CDK and network oscillators
    • Orlando,D. et al. (2008) Global control of cell-cycle transcription by coupled CDK and network oscillators. Nature, 453, 944-947.
    • (2008) Nature , vol.453 , pp. 944-947
    • Orlando, D.1
  • 21
    • 0037154982 scopus 로고    scopus 로고
    • A unified theory of gene expression
    • Orphanides,G. and Reinberg,D. (2002) A unified theory of gene expression. Cell, 108, 439-451.
    • (2002) Cell , vol.108 , pp. 439-451
    • Orphanides, G.1    Reinberg, D.2
  • 22
    • 0004213845 scopus 로고    scopus 로고
    • Cambridge University Press, Cambridge
    • Pearl,J. (2000) Causality. Cambridge University Press, Cambridge.
    • (2000) Causality
    • Pearl, J.1
  • 23
    • 33747379083 scopus 로고    scopus 로고
    • The forkhead transcription factor hcm1 regulates chromosome segregation genes and fills the s-phase gap in the transcriptional circuitry of the cell cycle
    • Pramila,T. et al. (2006) The forkhead transcription factor hcm1 regulates chromosome segregation genes and fills the s-phase gap in the transcriptional circuitry of the cell cycle. Genes Dev., 20, 2266-2278.
    • (2006) Genes Dev. , vol.20 , pp. 2266-2278
    • Pramila, T.1
  • 24
    • 34047173652 scopus 로고    scopus 로고
    • Analysis of E.coli promoter recognition problem in dinucleotide feature space
    • Rani,T.S. et al. (2007) Analysis of E.coli promoter recognition problem in dinucleotide feature space. Bioinformatics, 23, 582-588.
    • (2007) Bioinformatics , vol.23 , pp. 582-588
    • Rani, T.S.1
  • 26
    • 0031742022 scopus 로고    scopus 로고
    • Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization
    • Spellman,P. et al. (1998) Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. Mol. Biol. Cell, 9, 3273.
    • (1998) Mol. Biol. Cell , vol.9 , pp. 3273
    • Spellman, P.1
  • 28
    • 0037255171 scopus 로고    scopus 로고
    • The functional localization of neural networks using genetic algorithms
    • Tsukimoto,H. and Hatano,H. (2003) The functional localization of neural networks using genetic algorithms. Neural Networks, 16, 55-67.
    • (2003) Neural Networks , vol.16 , pp. 55-67
    • Tsukimoto, H.1    Hatano, H.2
  • 30
    • 18344386042 scopus 로고    scopus 로고
    • Cell cycle-dependent transcription in yeast: promoters, transcription factors, and transcriptomes
    • Wittenberg,C. and Reed,S. (2005) Cell cycle-dependent transcription in yeast: promoters, transcription factors, and transcriptomes. Oncogene, 24, 2746-2755.
    • (2005) Oncogene , vol.24 , pp. 2746-2755
    • Wittenberg, C.1    Reed, S.2
  • 31
    • 77952663448 scopus 로고    scopus 로고
    • Timedelay-aracne: Reverse engineering of gene networks from time-course data by an information theoretic approach
    • Zoppoli,P. et al. (2010) Timedelay-aracne: Reverse engineering of gene networks from time-course data by an information theoretic approach. BMC Bioinformatics, 11, 154.
    • (2010) BMC Bioinformatics , vol.11 , pp. 154
    • Zoppoli, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.