Open AccessBioinformatics Analysis of Weighted Genes in Diabetic Retinopathy
Author(s) -
Zhipeng You,
Yulan Zhang,
Bingyang Li,
Xingen Zhu,
Ke Shi
Publication year - 2018
Publication title -
investigative ophthalmology and visual science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.935
H-Index - 218
eISSN - 1552-5783
pISSN - 0146-0404
DOI - 10.1167/iovs.18-25515
Subject(s) - gene , malat1 , kegg , biology , microarray analysis techniques , computational biology , competing endogenous rna , microrna , genetics , gene expression , microarray , genome , long non coding rna , bioinformatics , rna , transcriptome
Intricate signaling networks and transcriptional regulators translate pathogen recognition into defense responses. The aim of this study was to identify the weighted genes involved in diabetic retinopathy (DR) in different rodent models of diabetes.
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