DbAARD & AGP: A computational pipeline for the prediction of genes associated with age related disorders

Journal of Biomedical Informatics

Volumn 60, Issue , 2016, Pages 153-161

  Srivastava, Isha ^a   Gahlot, Lokesh Kumar ^a   Khurana, Pooja ^a   Hasija, Yasha ^a  

^a DELHI TECHNOLOGICAL UNIVERSITY   (India)

Author keywords

Age related disorders; Genome Wide Association Studies; Machine learning; Single nucleotide polymorphisms

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING; LEARNING SYSTEMS;

AGE-RELATED; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDIES; HUMAN GENOME PROJECT; OVERALL ACCURACIES; ROTATION FORESTS; SCIENTIFIC COMMUNITY; SINGLE NUCLEOTIDE POLYMORPHISMS;

GENES;

AGE RELATED DISORDER; AGE RELATED DISORDERS GENE PREDICTION; AGING; ARTICLE; COMPUTER INTERFACE; COMPUTER PREDICTION; DATABASE OF AGING AND AGE RELATED DISORDERS; DISEASE CLASSIFICATION; FACTUAL DATABASE; GENETIC ALGORITHM; GENETIC ASSOCIATION; GENETIC INFORMATION; GENETIC MARKER; GENETIC VARIABILITY; HUMAN; INFORMATION STORAGE; MACHINE LEARNING; MEASUREMENT ACCURACY; MEDICAL INFORMATION; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL SIGNIFICANCE; VALIDATION PROCESS; ALGORITHM; BIOLOGY; DISEASES; GENETIC DATABASE; GENETICS; GENOME-WIDE ASSOCIATION STUDY;

AGING; ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; DISEASE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE; USER-COMPUTER INTERFACE;

EID: 84962821803     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2016.01.004     Document Type: Article

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