Deciphering early development of complex diseases by progressive module network

Methods

Volumn 67, Issue 3, 2014, Pages 334-343

  Zeng, Tao ^a   Zhang, Chuan Chao ^a,b   Zhang, Wanwei ^a   Liu, Rui ^c   Liu, Juan ^b   Chen, Luonan ^a,d  

^a Shanghai Jiao Tong University Affiliated Sixth People s Hospital   (China)

^b WUHAN UNIVERSITY   (China)

^c SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^d INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

Author keywords

Disease development and progression; Disease diagnosis and prognosis; Disease therapy; Dynamical network biomarker; Progressive module network; Type 1 diabetes mellitus

Indexed keywords

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; DISEASE ASSOCIATION; DISEASE CLASSIFICATION; DISEASE COURSE; ENVIRONMENTAL FACTOR; GENE EXPRESSION; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; MATHEMATICAL ANALYSIS; MOUSE; NONHUMAN; NONOBESE DIABETIC MOUSE; PRIORITY JOURNAL; PROGRESSIVE MODULE NETWORK; ANIMAL; DIABETES MELLITUS; EARLY DIAGNOSIS; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; PATHOLOGY; PROGNOSIS; THEORETICAL MODEL;

ANIMALS; DIABETES MELLITUS; DISEASE PROGRESSION; EARLY DIAGNOSIS; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; MICE, INBRED NOD; MODELS, THEORETICAL; PROGNOSIS;

EID: 84901387868     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2014.01.021     Document Type: Article

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