Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations

PLoS Computational Biology

Volumn 9, Issue 5, 2013, Pages

  Cai, Xiaodong ^a   Bazerque, Juan Andrés ^b   Giannakis, Georgios B ^b  

^a University of Miami College of Engineering   (United States)

^b University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIRECTED GRAPHS; GENE EXPRESSION REGULATION; MAXIMUM LIKELIHOOD ESTIMATION;

ADAPTIVE LASSOS; DIRECTED DEPENDENCY GRAPHS; GENE EXPRESSION DATA; GENE REGULATORY NETWORKS; MAXIMUM LIKELIHOOD ALGORITHM; NETWORK TOPOLOGY; NUMBER OF METHODS; REGULATORY NETWORK; STRUCTURAL EQUATION MODELS; TOPOLOGY INFERENCE;

GENE EXPRESSION;

CIS ACTING ELEMENT;

ADAPTIVE LASSO METHOD; ALGORITHM; ARTICLE; COMPUTER PROGRAM; COMPUTER SIMULATION; CONTROLLED STUDY; GENE EXPRESSION; GENE FUNCTION; GENE MUTATION; GENE REGULATORY NETWORK; GENETIC REGULATION; HUMAN; IMMUNE RESPONSE; INFERENTIAL STATISTICS; INTERMETHOD COMPARISON; QUANTITATIVE TRAIT LOCUS; QUANTITATIVE TRAIT LOCUS DIRECTED DEPENDENCY GRAPH METHOD; SPARSITY AWARE MAXIMUM LIKELIHOOD ANALYSIS; STRUCTURAL EQUATION MODELING;

EID: 84878484640     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003068     Document Type: Article

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