Identification of MicroRNA as sepsis biomarker based on miRNAs regulatory network analysis

BioMed Research International

Volumn 2014, Issue , 2014, Pages

  Huang, Jie ^a   Sun, Zhandong ^a,b   Yan, Wenying ^b,c,d   Zhu, Yujie ^b   Lin, Yuxin ^b   Chen, Jiajai ^b,d   Shen, Bairong ^b   Wang, Jian ^a  

^a CHILDREN S HOSPITAL OF SOOCHOW UNIVERSITY   (China)

^b SOOCHOW UNIVERSITY   (China)

^c Suzhou Zhengxing Translational Biomedical Informatics Ltd   (China)

^d Taicang Center for Translational Bioinformatics   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; MICRORNA;

ARTICLE; DISEASE ONTOLOGY; EARLY DIAGNOSIS; EUKARYOTE; GENE EXPRESSION; GENE REGULATORY NETWORK; GENE TARGETING; HUMAN; PROTEIN ANALYSIS; PROTEIN PROTEIN INTERACTION; RELIABILITY; SEPSIS; GENE ONTOLOGY; GENETICS; METABOLISM; RECEIVER OPERATING CHARACTERISTIC; SIGNAL TRANSDUCTION;

BIOLOGICAL MARKERS; GENE ONTOLOGY; GENE REGULATORY NETWORKS; HUMANS; MICRORNAS; PROTEIN INTERACTION MAPS; ROC CURVE; SEPSIS; SIGNAL TRANSDUCTION;

EID: 84900007132     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2014/594350     Document Type: Article

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