A Dynamic Network Approach for the Study of Human Phenotypes

PLoS Computational Biology

Volumn 5, Issue 4, 2009, Pages

  Hidalgo, César A ^a   Blumm, Nicholas ^b,c   Barabási, Albert László ^b,d,e   Christakis, Nicholas A ^e  

^a HARVARD UNIVERSITY   (United States)

^b NORTHEASTERN UNIVERSITY   (United States)

^c Northeastern University   (United States)

^d UNIVERSITY OF NOTRE DAME   (United States)

^e HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PATIENT MONITORING;

DISEASE PROGRESSION; DYNAMIC NETWORK; HUMAN DISEASE; NETWORK METHODS; PROTEOMICS; RESEARCH COMMUNITIES;

DISEASES;

ARTICLE; CLINICAL RESEARCH; COMMUNITY; COMPREHENSION; CONTROLLED STUDY; CORRELATIONAL STUDY; DATA BASE; DISEASE COURSE; ETHNICITY; FEMALE; GENDER; HISTORY; HUMAN; MALE; MORTALITY; NETWORK LEARNING; PHENOTYPE; PUBLICATION; ALGORITHM; COMORBIDITY; DISEASE PREDISPOSITION; METHODOLOGY; POPULATION AND POPULATION RELATED PHENOMENA; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; RISK FACTOR; UNITED STATES;

ALGORITHMS; COMORBIDITY; DISEASE SUSCEPTIBILITY; EPIDEMIOLOGIC MEASUREMENTS; HUMANS; PHENOTYPE; PROPORTIONAL HAZARDS MODELS; RISK ASSESSMENT; RISK FACTORS; UNITED STATES;

EID: 66249129037     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000353     Document Type: Article

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