Computational approaches to disease-gene prediction: Rationale, classification and successes

FEBS Journal

Volumn 279, Issue 5, 2012, Pages 678-696

  Piro, Rosario M ^a,b   Di Cunto, Ferdinando ^c  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c UNIVERSITY OF TURIN   (Italy)

Author keywords

candidate gene prioritization; disease genes; disease gene prediction; human disorders; prediction tools

Indexed keywords

BIOINFORMATICS; DISEASE CLASSIFICATION; GENE EXPRESSION REGULATION; GENE IDENTIFICATION; GENE INTERACTION; GENE MUTATION; GENE SEQUENCE; GENETIC ASSOCIATION; GENETIC CONSERVATION; GENETIC DISORDER; GENETIC SELECTION; HUMAN; MATHEMATICAL MODEL; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; REVIEW; SEQUENCE ANALYSIS; SIGNAL TRANSDUCTION;

COMPUTATIONAL BIOLOGY; GENES; GENETIC LINKAGE; GENETIC PREDISPOSITION TO DISEASE; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; HUMANS;

EID: 84857658973     PISSN: 1742464X     EISSN: 17424658     Source Type: Journal    
DOI: 10.1111/j.1742-4658.2012.08471.x     Document Type: Review

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