A multiscale graph theoretical approach to gene regulation networks: A case study in atrial fibrillation

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 10 PART 2, 2011, Pages 2943-2946

  Censi, Federica ^a   Giuliani, Alessandro ^a   Bartolini, Pietro ^a   Calcagnini, Giovanni ^a  

^a ISTITUTO SUPERIORE DI SANITÀ   (Italy)

Author keywords

Bioinformatics; computational systems biology; data mining; fibrillation

Indexed keywords

ATRIAL FIBRILLATION; BIOLOGICAL INTERPRETATION; COMPUTATIONAL SYSTEMS BIOLOGY; FIBRILLATION; GENE EXPRESSION CORRELATION; GENE REGULATION NETWORK; GLOBAL CORRELATION; GRAPH THEORETICAL APPROACH; HEART TISSUES; MULTISCALES; REGULATION NETWORKS; SCALE INVARIANT;

BIOINFORMATICS; DATA MINING; DISEASES; GENE EXPRESSION; GRAPH THEORY; STATISTICAL MECHANICS; TISSUE;

GENE EXPRESSION REGULATION;

ANALYTIC METHOD; ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; HEART ATRIUM FIBRILLATION; HUMAN; HUMAN GENOME; MATHEMATICAL PARAMETERS; MULTISCALE GRAPH THEORETICAL APPROACH;

ALGORITHMS; ATRIAL FIBRILLATION; CASE-CONTROL STUDIES; COMPUTATIONAL BIOLOGY; DATA MINING; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HUMANS; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 80053143005     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2150747     Document Type: Article

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