Identify Down syndrome transcriptome associations using integrative analysis of microarray database and correlation-interaction network.
| Author | |
|---|---|
| Abstract | :  Long non-coding RNAs (lncRNAs) have previously been emerged as key players in a series of biological processes. Dysregulation of lncRNA is correlated to human diseases including neurological disorders. Here, we developed a multi-step bioinformatics analysis to study the functions of a particular Down syndrome-associated gene DSCR9 including the lncRNAs. The method is named correlation-interaction-network (COIN), based on which a pipeline is implemented. Co-expression gene network analysis and biological network analysis results are presented. | 
| Year of Publication | :  2018 | 
| Journal | :  Human genomics | 
| Volume | :  12 | 
| Issue | :  1 | 
| Number of Pages | :  2 | 
| Date Published | :  2018 | 
| ISSN Number | :  1473-9542 | 
| URL | :  https://humgenomics.biomedcentral.com/articles/10.1186/s40246-018-0133-y | 
| DOI | :  10.1186/s40246-018-0133-y | 
| Short Title | :  Hum Genomics | 
| Download citation | 
