Interspecies translation of disease networks increases robustness and predictive accuracy

PLoS Computational Biology

Volumn 7, Issue 11, 2011, Pages

  Anvar, Seyed Yahya ^a   Tucker, Allan ^b   Vinciotti, Veronica ^b   Venema, Andrea ^a   van Ommen, Gert Jan B ^a   van der Maarel, Silvere M ^a   Raz, Vered ^a   't Hoen, Peter A C ^a  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^b BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION; LEARNING SYSTEMS; STATISTICAL TESTS;

EXPRESSION DATA; GENE REGULATORY NETWORKS; HIGH-THROUGHPUT; ISOFORMS; LEARNING STRATEGY; MACHINE-LEARNING; MUSCULAR DYSTROPHY; NOVEL ALGORITHM; PATHOPHYSIOLOGY; PREDICTIVE ACCURACY;

BAYESIAN NETWORKS;

PROTEASOME; TRANSCRIPTOME;

ALGORITHM; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; DANDELION ALGORITHM; DROSOPHILA; GENE EXPRESSION; GENE REGULATORY NETWORK; GENE SEQUENCE; GENETIC ASSOCIATION; GENETIC TRANSCRIPTION; HUMAN; MOUSE; NONHUMAN; NUCLEOTIDE SEQUENCE; OCULOPHARYNGEAL MUSCULAR DYSTROPHY; PEPTIDE MAPPING; PHENOTYPE; PREDICTION; SPECIES DIFFERENTIATION; ANIMAL; ANIMAL MUSCULAR DYSTROPHY; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; BIOLOGY; DISEASE MODEL; DISEASES; GENETIC DATABASE; GENETICS; SPECIES DIFFERENCE;

ANIMALIA; TARAXACUM OFFICINALE;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; DISEASE; DISEASE MODELS, ANIMAL; DROSOPHILA; GENE EXPRESSION; GENE REGULATORY NETWORKS; HUMANS; MICE; MODELS, GENETIC; MUSCULAR DYSTROPHY, ANIMAL; MUSCULAR DYSTROPHY, OCULOPHARYNGEAL; PHENOTYPE; SPECIES SPECIFICITY; TRANSCRIPTOME;

EID: 81355151015     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002258     Document Type: Article

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