메뉴 건너뛰기




Volumn 29, Issue 19, 2013, Pages 2410-2418

ROBNCA: Robust network component analysis for recovering transcription factor activities

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTION FACTOR;

EID: 84895519734     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt433     Document Type: Article
Times cited : (19)

References (21)
  • 2
    • 44349190399 scopus 로고    scopus 로고
    • Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data
    • Chang,C. et al. (2008) Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data. Bioinformatics, 24, 1349-1358.
    • (2008) Bioinformatics , vol.24 , pp. 1349-1358
    • Chang, C.1
  • 3
    • 34447266299 scopus 로고
    • Independent component analysis
    • Comon,P. (1992) Independent component analysis. Higher-Order Statistics, 29-38.
    • (1992) Higher-Order Statistics , pp. 29-38
    • Comon, P.1
  • 4
    • 84871641723 scopus 로고    scopus 로고
    • Robust graphical modeling of gene networks using classical and alternative t-distributions
    • Finegold,M. and Drton,M. (2011) Robust graphical modeling of gene networks using classical and alternative t-distributions. Ann. Appl.Stat., 5, 1057-1080.
    • (2011) Ann. Appl.Stat. , vol.5 , pp. 1057-1080
    • Finegold, M.1    Drton, M.2
  • 5
    • 33747841966 scopus 로고    scopus 로고
    • Transcriptome network component analysis with limited microarray data
    • Galbraith,S.J. et al. (2006) Transcriptome network component analysis with limited microarray data. Bioinformatics, 22, 1886-1894.
    • (2006) Bioinformatics , vol.22 , pp. 1886-1894
    • Galbraith, S.J.1
  • 7
    • 84864955664 scopus 로고    scopus 로고
    • Noniterative convex optimization methods for network component analysis
    • Jacklin,N. et al. (2012) Noniterative convex optimization methods for network component analysis. IEEE/ACM Trans. Comput. Biol. Bioinform., 9, 1472-1481.
    • (2012) IEEE/ACM Trans. Comput. Biol. Bioinform. , vol.9 , pp. 1472-1481
    • Jacklin, N.1
  • 8
    • 82255185565 scopus 로고    scopus 로고
    • Bayesian multiple-instance motif discovery with bambi: Inference of recombinase and transcription factor binding sites
    • Jajamovich,G.H. et al. (2011) Bayesian multiple-instance motif discovery with bambi: inference of recombinase and transcription factor binding sites. Nucleic Acids Res., 39, e146.
    • (2011) Nucleic Acids Res. , vol.39
    • Jajamovich, G.H.1
  • 10
    • 0345743695 scopus 로고    scopus 로고
    • Transcriptome-based determination of multiple transcription regulator activities in escherichia coli by using network component analysis
    • Kao,K.C. et al. (2004) Transcriptome-based determination of multiple transcription regulator activities in escherichia coli by using network component analysis. Proc. Natl. Acad. Sci. USA, 101, 641-646.
    • (2004) Proc. Natl. Acad. Sci. USA , vol.101 , pp. 641-646
    • Kao, K.C.1
  • 11
    • 79959197541 scopus 로고    scopus 로고
    • From sparse signals to sparse residuals for robust sensing
    • Kekatos,V. and Giannakis,G.B. (2011) From sparse signals to sparse residuals for robust sensing. IEEE Trans. Signal. Process, 59, 3355-3368.
    • (2011) IEEE Trans. Signal. Process , vol.59 , pp. 3355-3368
    • Kekatos, V.1    Giannakis, G.B.2
  • 12
    • 46749107542 scopus 로고    scopus 로고
    • Probabilistic inference of transcription factor binding from multiple data sources
    • Lähdesmäki,H. et al. (2008) Probabilistic inference of transcription factor binding from multiple data sources. PLoS One, 3, e1820.
    • (2008) PLoS One , vol.3
    • Lähdesmäki, H.1
  • 13
    • 0037174671 scopus 로고    scopus 로고
    • Transcriptional regulatory networks in saccharomyces cerevisiae
    • Lee,T.I. et al. (2002) Transcriptional regulatory networks in saccharomyces cerevisiae. Sci. Signal., 298, 799.
    • (2002) Sci. Signal. , vol.298 , pp. 799
    • Lee, T.I.1
  • 14
    • 0345824737 scopus 로고    scopus 로고
    • Network component analysis: Reconstruction of regulatory signals in biological systems
    • Liao,J. et al. (2003) Network component analysis: reconstruction of regulatory signals in biological systems. Proc. Natl. Acad. Sci. USA, 100, 15522-15527.
    • (2003) Proc. Natl. Acad. Sci. USA , vol.100 , pp. 15522-15527
    • Liao, J.1
  • 15
    • 84866502467 scopus 로고    scopus 로고
    • Robust PCA as bilinear decomposition with outlier-sparsity regularization
    • Mateos,G. and Giannakis,G.B. (2012) Robust PCA as bilinear decomposition with outlier-sparsity regularization. IEEE Trans. Signal Process., 60, 5176-5190.
    • (2012) IEEE Trans. Signal Process. , vol.60 , pp. 5176-5190
    • Mateos, G.1    Giannakis, G.B.2
  • 16
    • 0031742022 scopus 로고    scopus 로고
    • Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization
    • Spellman,P.T. et al. (1998) Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. Mol. Biol. Cell, 9, 3273-3297.
    • (1998) Mol. Biol. Cell , vol.9 , pp. 3273-3297
    • Spellman, P.T.1
  • 17
    • 15244338624 scopus 로고    scopus 로고
    • GNCA: A framework for determining transcription factor activity based on transcriptome: Identifiability and numerical implementation
    • Tran,L. et al. (2005) gNCA: a framework for determining transcription factor activity based on transcriptome: identifiability and numerical implementation. Metab. Eng., 7, 128-141.
    • (2005) Metab. Eng. , vol.7 , pp. 128-141
    • Tran, L.1
  • 18
    • 33645712308 scopus 로고    scopus 로고
    • Just relax: Convex programming methods for identifying sparse signals in noise
    • Tropp,J.A. (2006) Just relax: convex programming methods for identifying sparse signals in noise. IEEE Trans. Inf. Theory, 52, 1030-1051.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , pp. 1030-1051
    • Tropp, J.A.1
  • 19
    • 0035533631 scopus 로고    scopus 로고
    • Convergence of a block coordinate descent method for nondifferentiable minimization
    • Tseng,P. (2001) Convergence of a block coordinate descent method for nondifferentiable minimization. J. Optim. Theory Appl., 109, 475-494.
    • (2001) J. Optim. Theory Appl. , vol.109 , pp. 475-494
    • Tseng, P.1
  • 20
    • 23744502897 scopus 로고    scopus 로고
    • Inferring yeast cell cycle regulators and interactions using transcription factor activities
    • Yang,Y.-L. et al. (2005) Inferring yeast cell cycle regulators and interactions using transcription factor activities. BMC Genomics, 6, 90.
    • (2005) BMC Genomics , vol.6 , pp. 90
    • Yang, Y.-L.1
  • 21
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • Yuan,M. and Lin,Y. (2005) Model selection and estimation in regression with grouped variables. J. R. Stat. Soc. Series B Stat. Methodol., 68, 49-67.
    • (2005) J. R. Stat. Soc. Series B Stat. Methodol. , vol.68 , pp. 49-67
    • Yuan, M.1    Lin, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.