Applied graph-mining algorithms to study biomolecular interaction networks

BioMed Research International

Volumn 2014, Issue , 2014, Pages

  Shen, Ru ^a   Guda, Chittibabu ^b,c  

^a State University of New York   (United States)

^b UNIVERSITY OF NEBRASKA MEDICAL CENTER   (United States)

^c UNIVERSITY OF NEBRASKA MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; COMPARATIVE STUDY; KERNEL METHOD; MINING; MOLECULAR INTERACTION; MULTIPLE CANCER; PROTEIN PROTEIN INTERACTION; SEQUENCE ALIGNMENT; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; DATA MINING; HUMAN; MATHEMATICAL COMPUTING; METABOLISM; NEOPLASM; PROCEDURES; PROTEIN ANALYSIS; SIGNAL TRANSDUCTION;

TUMOR PROTEIN;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; DATA MINING; HUMANS; MODELS, BIOLOGICAL; NEOPLASM PROTEINS; NEOPLASMS; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PROTEIN INTERACTION MAPPING; SIGNAL TRANSDUCTION;

EID: 84899582523     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2014/439476     Document Type: Article

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