Genetic variants and their interactions in disease risk prediction - Machine learning and network perspectives

BioData Mining

Volumn 6, Issue 1, 2013, Pages

  Okser, Sebastian ^a,b   Pahikkala, Tapio ^a,b   Aittokallio, Tero ^b,c  

^a UNIVERSITY OF TURKU   (Finland)

^b TURKU CENTRE FOR COMPUTER SCIENCE   (Finland)

^c UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIGEN PRESENTATION; CAENORHABDITIS ELEGANS; CANCER GENETICS; DROSOPHILA MELANOGASTER; GENE INTERACTION; GENE LOCUS; GENETIC ALGORITHM; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOME ANALYSIS; GENOTYPE; HAPLOTYPE; HERITABILITY; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; LEARNING ALGORITHM; MACHINE LEARNING; MUTATIONAL ANALYSIS; NETWORK LEARNING; NONHUMAN; PERSONALIZED MEDICINE; PHENOTYPE; PREDICTIVE VALUE; PRIORITY JOURNAL; REVIEW; RISK FACTOR; SACCHAROMYCES CEREVISIAE; SCORING SYSTEM;

EID: 84874397060     PISSN: None     EISSN: 17560381     Source Type: Journal    
DOI: 10.1186/1756-0381-6-5     Document Type: Review

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