Breaking free from the chains of pathway annotation: De novo pathway discovery for the analysis of disease processes

Pharmacogenomics

Volumn 13, Issue 16, 2012, Pages 1967-1978

  Lehne, Benjamin ^a,b   Schlitt, Thomas ^a,c  

^a GUY S HOSPITAL   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

disease gene identification; gene function; gene network; genome wide association studies; pathway analysis; protein network

Indexed keywords

BIOLOGICAL PATHWAY; DISEASE COURSE; GENE FREQUENCY; GENE FUNCTION; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC VARIABILITY; HIGH THROUGHPUT SCREENING; HUMAN; PROTEIN PROTEIN INTERACTION; REVIEW; SIGNAL TRANSDUCTION; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; DATABASES, GENETIC; GENE EXPRESSION; GENE REGULATORY NETWORKS; GENOME-WIDE ASSOCIATION STUDY; HUMANS; METABOLIC NETWORKS AND PATHWAYS; MOLECULAR SEQUENCE ANNOTATION; POLYMORPHISM, SINGLE NUCLEOTIDE; SOFTWARE;

EID: 84870792918     PISSN: 14622416     EISSN: 17448042     Source Type: Journal    
DOI: 10.2217/pgs.12.170     Document Type: Review

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