Gene Network for Identifying the Entropy Changes of Different Modules in Pediatric Sepsis | Zendy

H. J. Yang | Zendy; Pingli Zhang | Zendy; Lumin Wang | Zendy

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Gene Network for Identifying the Entropy Changes of Different Modules in Pediatric Sepsis

Author(s) -

H. J. Yang,

Pingli Zhang,

Lumin Wang

Publication year - 2016

Publication title -

cellular physiology and biochemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.486

H-Index - 87

eISSN - 1421-9778

pISSN - 1015-8987

DOI - 10.1159/000453169

Subject(s) - sepsis , gene , medicine , computational biology , biology , bioinformatics , genetics , immunology

Pediatric sepsis is a disease that threatens life of children. The incidence of pediatric sepsis is higher in developing countries due to various reasons, such as insufficient immunization and nutrition, water and air pollution, etc. Exploring the potential genes via different methods is of significance for the prevention and treatment of pediatric sepsis. This study aimed to identify potential genes associated with pediatric sepsis utilizing analysis of gene network and entropy.

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