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Series GSE133349 Query DataSets for GSE133349
Status Public on Jun 27, 2019
Title Integrative analysis of competing endogenous RNA networks reveals the functional lncRNAs in Alzheimer’s diseased
Sample organism Homo sapiens
Experiment type Expression profiling by array
Third-party reanalysis
Summary There is increasing evidence that long non-coding RNAs (lncRNAs) play an important role in the pathogenesis of Alzheimer's disease (AD). In addition, lncRNA can act as a ceRNA by affecting mRNA expression levels by sponges miRNAs. The role of many biologi
 
Overall design We systematically analyzed the microarray data of large samples of AD to construct a dysregulated ceRNA network to find candidate diagnostic biomarkers or potential therapeutic targets.
Normalized using the RMA of the R package affy, and next the batch effect was removed by the combat of the R package SVA
 
Contributor(s) Ding X
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Jun 26, 2019
Last update date Jun 27, 2019
Contact name jun Xian Ding
E-mail(s) dingxianjun@zju.edu.cn
Organization name Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University
Department Department of Orthopaedic Surgery
Street address Qingchun Rd. East
City Hangzhou
ZIP/Postal code 310016
Country China
 
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Supplementary file Size Download File type/resource
GSE133349_Matrix_Template.tsv.gz 240.5 Mb (ftp)(http) TSV
GSE133349_combat_edata1.RData.gz 230.6 Mb (ftp)(http) RDATA
GSE133349_eset.RData.gz 222.6 Mb (ftp)(http) RDATA
Processed data provided as supplementary file

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