Integration of genomic and proteomic data to predict synthetic genetic interactions using semi-supervised learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5755 LNAI, Issue , 2009, Pages 635-644

  You, Zhuhong ^a,b   Zhang, Shanwen ^a   Li, Liping ^c  

^a INSTITUTE OF INTELLIGENT MACHINES   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c Institute of Soil and Water Conservation of Gansu   (China)

Author keywords

Functional Gene network; Genetic Interaction; Network Property; Semi supervised learning

Indexed keywords

CLUSTERING COEFFICIENT; COMBINED EFFECT; FUNCTION NETWORK; FUNCTIONAL GENE NETWORK; FUNCTIONAL GENES; FUNCTIONAL PROPERTIES; GENETIC INTERACTION; GRAPH-BASED; HIGH QUALITY; LABELED AND UNLABELED DATA; LOCAL CONNECTIVITY; MICROARRAY GENE EXPRESSION DATA; NETWORK PROPERTIES; NETWORK PROPERTY; PROTEIN COMPLEXES; PROTEIN INTERACTION; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED METHOD; SYSTEM BIOLOGY; TRAINING SAMPLE;

COMPUTER SCIENCE; EDUCATION; GENE EXPRESSION; INTEGRATION; INTELLIGENT COMPUTING; PLANTS (BOTANY); SUPERVISED LEARNING;

LEARNING ALGORITHMS;

EID: 70350426732     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04020-7_68     Document Type: Conference Paper

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