Genome-wide genetic interaction analysis of glaucoma using expert knowledge derived from human phenotype networks

Pacific Symposium on Biocomputing

Volumn , Issue , 2015, Pages 207-218

  Hu, Ting ^a   Darabos, Christian ^a   Cricco, Maria E ^a   Kong, Emily ^a   Moore, Jason H ^a  

^a DARTMOUTH MEDICAL SCHOOL   (United States)

Author keywords

Biofilter; Epistasis; Eye diseases; Gene gene interaction; Glaucoma; GWAS; Human phenotype network; Pathways; SNPs; Statistical epistasis network

Indexed keywords

BIOFILTERS; GENES; KNOWLEDGE BASED SYSTEMS;

EPISTASIS; EYE DISEASE; GENE-GENE INTERACTION; GLAUCOMA; GWAS; PATHWAYS; SNPS;

OPHTHALMOLOGY;

BIOLOGICAL MODEL; BIOLOGY; EPISTASIS; EXPERT WITNESS; GENE REGULATORY NETWORK; GENETIC DATABASE; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GLAUCOMA; HUMAN; PHENOTYPE; SINGLE NUCLEOTIDE POLYMORPHISM;

COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; EPISTASIS, GENETIC; EXPERT TESTIMONY; GENE REGULATORY NETWORKS; GENOME-WIDE ASSOCIATION STUDY; GLAUCOMA; HUMANS; MODELS, GENETIC; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84971342664     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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