Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: Study of type 2 diabetes by cross-tissue analysis

Briefings in Bioinformatics

Volumn 15, Issue 2, 2014, Pages 229-243

  Li, Meiyi ^a   Zeng, Tao ^a   Liu, Rui ^b   Chen, Luonan ^a  

^a Chinese Academy of Sciences   (China)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Critical transition; Disease progression; Dynamical network biomarker (DNB); leading network; Multi tissues; Type 2 diabetes

Indexed keywords

BIOLOGICAL MARKER; GENETIC MARKER; STEROID;

ALGORITHM; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; BIOSYNTHESIS; DIABETES MELLITUS, TYPE 2; DISEASE COURSE; EARLY DIAGNOSIS; GENETIC MARKER; GENETICS; HIGH THROUGHPUT SCREENING; HUMAN; METABOLISM; PROCEDURES; RAT; SIGNAL TRANSDUCTION; STATISTICS AND NUMERICAL DATA; SYSTEMS BIOLOGY; TISSUE DISTRIBUTION;

ALGORITHMS; ANIMALS; BIOLOGICAL MARKERS; COMPUTATIONAL BIOLOGY; DIABETES MELLITUS, TYPE 2; DISEASE PROGRESSION; EARLY DIAGNOSIS; GENETIC MARKERS; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; MODELS, BIOLOGICAL; RATS; SIGNAL TRANSDUCTION; STEROIDS; SYSTEMS BIOLOGY; TISSUE DISTRIBUTION;

EID: 84896468768     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbt027     Document Type: Article

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