Regularized estimation of large-scale gene association networks using graphical Gaussian models

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Krämer, Nicole ^a   Schäfer, Juliane ^b,c   Boulesteix, Anne Laure ^d  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b ETH ZURICH   (Switzerland)

^c UNIVERSITY HOSPITAL BASEL   (Switzerland)

^d UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FALSE DISCOVERY RATE; GRAPHICAL GAUSSIAN MODELS; HIGH-DIMENSIONAL REGRESSIONS; PARTIAL CORRELATION; PARTIAL LEAST SQUARE (PLS); REGULARIZATION PARAMETERS; REGULARIZATION TECHNIQUE; SAMPLE COVARIANCE MATRIX;

COMPLEX NETWORKS; COVARIANCE MATRIX; ESTIMATION; GAUSSIAN DISTRIBUTION; GENES; LEAST SQUARES APPROXIMATIONS; REGRESSION ANALYSIS; STATISTICAL TESTS;

COMPUTER SIMULATION;

ARTICLE; BIOLOGY; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; METHODOLOGY; REGRESSION ANALYSIS;

COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REGRESSION ANALYSIS;

EID: 73149097219     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-384     Document Type: Article

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