Graph theory-based measures as predictors of gene morbidity

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 803-806

  Massanet Vila, Raimon ^a,b,c   Caminal, Pere ^a,b,c   Perera, Alexandre ^a,b,c  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b Biomedical Engineering Research Center CREB   (Spain)

^c BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AMOUNT OF INFORMATION; GRAPH PROPERTIES; HUMAN PROTEOME; INFORMATION FACTOR; INTERACTION NETWORKS; NODE DEGREE; POSITIVE CORRELATIONS; PROTEIN INTERACTION NETWORKS; RESOURCE DATABASE;

ACTIVE NETWORKS; GRAPH THEORY; PROTEINS;

GENES;

BIOLOGICAL MARKER; PROTEOME;

ALGORITHM; ARTICLE; GENETIC PREDISPOSITION; GENETICS; HUMAN; METHODOLOGY; PREVALENCE; PROPORTIONAL HAZARDS MODEL; PROTEIN ANALYSIS; RISK ASSESSMENT; RISK FACTOR; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; BIOLOGICAL MARKERS; GENETIC PREDISPOSITION TO DISEASE; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE; PREVALENCE; PROPORTIONAL HAZARDS MODELS; PROTEIN INTERACTION MAPPING; PROTEOME; RISK ASSESSMENT; RISK FACTORS;

EID: 78650844228     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626521     Document Type: Conference Paper

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