Network biomarkers reveal dysfunctional gene regulations during disease progression

FEBS Journal

Volumn 280, Issue 22, 2013, Pages 5682-5695

  Zeng, Tao ^a   Sun, Shao Yan ^a,b   Wang, Yong ^c   Zhu, Hailong ^d   Chen, Luonan ^a  

^a Chinese Academy of Sciences   (China)

^b LUDONG UNIVERSITY   (China)

^c CHINESE ACADEMY OF SCIENCES   (China)

^d HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

differential expression network; disease diagnosis; disease prognosis; disease progression; dynamical network biomarkers; gene regulation; module biomarkers; network biomarkers; progressive module network model; systems biology

Indexed keywords

BIOLOGICAL MARKER;

ALGORITHM; ARTICLE; DISEASE COURSE; GENE CONTROL; GENE EXPRESSION; GENE IDENTIFICATION; GENE REGULATORY NETWORK; GENETIC ASSOCIATION; GENETIC DATABASE; GENOMICS; INSULIN DEPENDENT DIABETES MELLITUS; MARKER GENE; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION;

DIFFERENTIAL EXPRESSION NETWORK; DISEASE DIAGNOSIS; DISEASE PROGNOSIS; DISEASE PROGRESSION; DYNAMICAL NETWORK BIOMARKERS; GENE REGULATION; MODULE BIOMARKERS; NETWORK BIOMARKERS; PROGRESSIVE MODULE NETWORK MODEL; SYSTEMS BIOLOGY;

BIOLOGICAL MARKERS; DIABETES MELLITUS, TYPE 1; DISEASE PROGRESSION; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; GENETIC MARKERS; HUMANS; MODELS, GENETIC; SYSTEMS BIOLOGY;

EID: 84887815759     PISSN: 1742464X     EISSN: 17424658     Source Type: Journal    
DOI: 10.1111/febs.12536     Document Type: Article

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