Analysis of the human diseasome using phenotype similarity between common, genetic, and infectious diseases

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Hoehndorf, Robert ^a   Schofield, Paul N ^b   Gkoutos, Georgios V ^c,d  

^a KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c ABERYSTWYTH UNIVERSITY   (United Kingdom)

^d UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; BIOLOGICAL ONTOLOGY; DATA MINING; FACTUAL DATABASE; GENETIC DISORDER; HUMAN; INFECTION; MOUSE;

ANIMALS; BIOLOGICAL ONTOLOGIES; DATA MINING; DATABASES, FACTUAL; GENETIC DISEASES, INBORN; HUMANS; INFECTION; MICE;

EID: 84930965777     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep10888     Document Type: Article

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