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Volumn 113, Issue 18, 2016, Pages 5130-5135

Part mutual information for quantifying direct associations in networks

Author keywords

Conditional independence; Conditional mutual information; Network inference; Systems biology

Indexed keywords

ARTICLE; ESCHERICHIA COLI; GENE EXPRESSION; GENE REGULATORY NETWORK; INDEPENDENT VARIABLE; MINIMUM INHIBITORY CONCENTRATION; NONHUMAN; NONLINEAR SYSTEM; NORMAL DISTRIBUTION; PART MUTUAL INFORMATION; PRIORITY JOURNAL; PROBABILITY; QUANTITATIVE ANALYSIS; YEAST; ALGORITHM; BIOLOGICAL MODEL; COMPUTER SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 84965168859     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1522586113     Document Type: Article
Times cited : (191)

References (27)
  • 2
    • 0141993704 scopus 로고    scopus 로고
    • A gene-coexpression network for global discovery of conserved genetic modules
    • Stuart JM, Segal E, Koller D, Kim SK (2003) A gene-coexpression network for global discovery of conserved genetic modules. Science 302(5643):249-255.
    • (2003) Science , vol.302 , Issue.5643 , pp. 249-255
    • Stuart, J.M.1    Segal, E.2    Koller, D.3    Kim, S.K.4
  • 3
    • 83755163018 scopus 로고    scopus 로고
    • Detecting novel associations in large data sets
    • Reshef DN, et al. (2011) Detecting novel associations in large data sets. Science 334(6062):1518-1524.
    • (2011) Science , vol.334 , Issue.6062 , pp. 1518-1524
    • Reshef, D.N.1
  • 4
    • 84911866138 scopus 로고    scopus 로고
    • Gene coexpression measures in large heterogeneous samples using count statistics
    • Wang YXR, Waterman MS, Huang H (2014) Gene coexpression measures in large heterogeneous samples using count statistics. Proc Natl Acad Sci USA 111(46): 16371-16376.
    • (2014) Proc Natl Acad Sci USA , vol.111 , Issue.46 , pp. 16371-16376
    • Wang, Y.X.R.1    Waterman, M.S.2    Huang, H.3
  • 5
    • 0032441150 scopus 로고    scopus 로고
    • Cluster analysis and display of genome-wide expression patterns
    • Eisen MB, Spellman PT, Brown PO, Botstein D (1998) Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 95(25):14863-14868.
    • (1998) Proc Natl Acad Sci USA , vol.95 , Issue.25 , pp. 14863-14868
    • Eisen, M.B.1    Spellman, P.T.2    Brown, P.O.3    Botstein, D.4
  • 7
    • 84883812062 scopus 로고    scopus 로고
    • Network link prediction by global silencing of indirect correlations
    • Barzel B, Barabási A-L (2013) Network link prediction by global silencing of indirect correlations. Nat Biotechnol 31(8):720-725.
    • (2013) Nat Biotechnol , vol.31 , Issue.8 , pp. 720-725
    • Barzel, B.1    Barabási, A.-L.2
  • 8
    • 84883771767 scopus 로고    scopus 로고
    • Network deconvolution as a general method to distinguish direct dependencies in networks
    • Feizi S, Marbach D, Médard M, Kellis M (2013) Network deconvolution as a general method to distinguish direct dependencies in networks. Nat Biotechnol 31(8): 726-733.
    • (2013) Nat Biotechnol , vol.31 , Issue.8 , pp. 726-733
    • Feizi, S.1    Marbach, D.2    Médard, M.3    Kellis, M.4
  • 9
    • 50849124115 scopus 로고    scopus 로고
    • Measuring and testing dependence by correlation of distances
    • Szekely GJ, Rizzo ML, Bakirov NK (2007) Measuring and testing dependence by correlation of distances. Ann Stat 35(6):2769-2794.
    • (2007) Ann Stat , vol.35 , Issue.6 , pp. 2769-2794
    • Szekely, G.J.1    Rizzo, M.L.2    Bakirov, N.K.3
  • 10
    • 84870666600 scopus 로고    scopus 로고
    • On brownian distance covariance and high dimensional data
    • Kosorok MR (2009) On Brownian distance covariance and high dimensional data. Ann Appl Stat 3(4):1266-1269.
    • (2009) Ann Appl Stat , vol.3 , Issue.4 , pp. 1266-1269
    • Kosorok, M.R.1
  • 11
    • 84908193546 scopus 로고    scopus 로고
    • Partial distance correlation with methods for dissimilarities
    • Szekely GJ, Rizzo ML (2014) Partial distance correlation with methods for dissimilarities. Ann Stat 42(6):2382-2412.
    • (2014) Ann Stat , vol.42 , Issue.6 , pp. 2382-2412
    • Szekely, G.J.1    Rizzo, M.L.2
  • 12
    • 36148985016 scopus 로고    scopus 로고
    • Partial mutual information for coupling analysis of multivariate time series
    • Frenzel S, Pompe B (2007) Partial mutual information for coupling analysis of multivariate time series. Phys Rev Lett 99(20):204101.
    • (2007) Phys Rev Lett , vol.99 , Issue.20 , pp. 204101
    • Frenzel, S.1    Pompe, B.2
  • 13
    • 12944275674 scopus 로고    scopus 로고
    • Measuring information transfer
    • Schreiber T (2000) Measuring information transfer. Phys Rev Lett 85(2):461-464.
    • (2000) Phys Rev Lett , vol.85 , Issue.2 , pp. 461-464
    • Schreiber, T.1
  • 14
    • 84895815806 scopus 로고    scopus 로고
    • Equitability, mutual information, and the maximal information coefficient
    • Kinney JB, Atwal GS (2014) Equitability, mutual information, and the maximal information coefficient. Proc Natl Acad Sci USA 111(9):3354-3359.
    • (2014) Proc Natl Acad Sci USA , vol.111 , Issue.9 , pp. 3354-3359
    • Kinney, J.B.1    Atwal, G.S.2
  • 15
    • 77955033717 scopus 로고    scopus 로고
    • Miss: A non-linear methodology based on mutual information for genetic association studies in both population and sib-pairs analysis
    • Brunel H, et al. (2010) MISS: A non-linear methodology based on mutual information for genetic association studies in both population and sib-pairs analysis. Bioinformatics 26(15): 1811-1818.
    • (2010) Bioinformatics , vol.26 , Issue.15 , pp. 1811-1818
    • Brunel, H.1
  • 16
    • 84855160951 scopus 로고    scopus 로고
    • Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information
    • Zhang X, et al. (2012) Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information. Bioinformatics 28(1):98-104.
    • (2012) Bioinformatics , vol.28 , Issue.1 , pp. 98-104
    • Zhang, X.1
  • 17
    • 33947524701 scopus 로고    scopus 로고
    • Causality detection based on information-theoretic approaches in time series analysis
    • Hlavackova-Schindler K, Palus M, Vejmelka M, Bhattacharya J (2007) Causality detection based on information-theoretic approaches in time series analysis. Phys Rep 441(1):1-46.
    • (2007) Phys Rep , vol.441 , Issue.1 , pp. 1-46
    • Hlavackova-Schindler, K.1    Palus, M.2    Vejmelka, M.3    Bhattacharya, J.4
  • 19
    • 84937548212 scopus 로고    scopus 로고
    • Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks
    • Zhang X, Zhao J, Hao JK, Zhao XM, Chen L (2015) Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks. Nucleic Acids Res 43(5):e31.
    • (2015) Nucleic Acids Res , vol.43 , Issue.5 , pp. e31
    • Zhang, X.1    Zhao, J.2    Hao, J.K.3    Zhao, X.M.4    Chen, L.5
  • 20
    • 0002952698 scopus 로고    scopus 로고
    • Significance testing of information theoretic functionals
    • Roulston MS (1997) Significance testing of information theoretic functionals. Physica D 110(1-2):62-66.
    • (1997) Physica D , vol.110 , Issue.1-2 , pp. 62-66
    • Roulston, M.S.1
  • 22
    • 0032641874 scopus 로고    scopus 로고
    • Estimation of the information by an adaptive partitioning of the observation space
    • Darbellay GA, Vajda I (1999) Estimation of the information by an adaptive partitioning of the observation space. Ieee T Inform Theory 45(4):1315-1321.
    • (1999) Ieee T Inform Theory , vol.45 , Issue.4 , pp. 1315-1321
    • Darbellay, G.A.1    Vajda, I.2
  • 23
    • 0042526388 scopus 로고    scopus 로고
    • The mutual information: Detecting and evaluating dependencies between variables
    • Steuer R, Kurths J, Daub CO,Weise J, Selbig J (2002) The mutual information: Detecting and evaluating dependencies between variables. Bioinformatics 18(Suppl 2):S231-S240.
    • (2002) Bioinformatics , vol.18 , pp. S231-S240
    • Steuer, R.1    Kurths, J.2    Daub, C.O.3    Weise, J.4    Selbig, J.5
  • 24
    • 77950910419 scopus 로고    scopus 로고
    • Revealing strengths and weaknesses of methods for gene network inference
    • Marbach D, et al. (2010) Revealing strengths and weaknesses of methods for gene network inference. Proc Natl Acad Sci USA 107(14):6286-6291.
    • (2010) Proc Natl Acad Sci USA , vol.107 , Issue.14 , pp. 6286-6291
    • Marbach, D.1
  • 25
    • 79961200389 scopus 로고    scopus 로고
    • Genenetweaver in silico benchmark generation and performance profiling of network inference methods
    • Schaffter T, Marbach D, Floreano D (2011) GeneNetWeaver: In silico benchmark generation and performance profiling of network inference methods. Bioinformatics 27(16):2263-2270.
    • (2011) Bioinformatics , vol.27 , Issue.16 , pp. 2263-2270
    • Schaffter, T.1    Marbach, D.2    Floreano, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.