Systems-level cancer gene identi.cation from protein interaction network topology applied to melanogenesis-related functional genomics data

Journal of the Royal Society Interface

Volumn 7, Issue 44, 2010, Pages 423-437

  Milenković, Tijana ^a   Memišević, Vesna ^a   Ganesan, Anand K ^b   Pržulj, Nataša ^a  

^a Irvine   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Biological networks; Cancer gene identification; Network topology; Protein interaction networks

Indexed keywords

ACTIVE NETWORKS; BIOLOGICAL SYSTEMS; COMPLEXATION; ELECTRIC NETWORK TOPOLOGY; FORECASTING; GENES;

BIOLOGICAL FUNCTIONS; BIOLOGICAL NETWORKS; BIOLOGICAL PROCESS; CANCER GENES; CLUSTERING METHODS; COMPLEX DISEASE; FUNCTIONAL GENOMICS; GRAPH-THEORETIC METHODS; LARGE NETWORKS; MELANOGENESIS; NEGATIVE REGULATORS; NETWORK STRUCTURES; NETWORK TOPOLOGY; PROTEIN INTERACTION NETWORKS; PROTEIN-PROTEIN INTERACTION NETWORKS; REAL-WORLD; UNDERLYING PRINCIPLES;

PROTEINS;

ARTICLE; FUNCTIONAL GENOMICS; GENE IDENTIFICATION; HUMAN; MELANOGENESIS; PROTEIN PROTEIN INTERACTION; TUMOR GENE;

EID: 76049094356     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2009.0192     Document Type: Article

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