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Bioinformatics analysis of biomarkers and transcriptional factor motifs in Down syndrome BJMBR
Kong,X.D.; Liu,N.; Xu,X.J..
In this study, biomarkers and transcriptional factor motifs were identified in order to investigate the etiology and phenotypic severity of Down syndrome. GSE 1281, GSE 1611, and GSE 5390 were downloaded from the gene expression ominibus (GEO). A robust multiarray analysis (RMA) algorithm was applied to detect differentially expressed genes (DEGs). In order to screen for biological pathways and to interrogate the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, the database for annotation, visualization, and integrated discovery (DAVID) was used to carry out a gene ontology (GO) function enrichment for DEGs. Finally, a transcriptional regulatory network was constructed, and a hypergeometric distribution test was applied to select for...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Down syndrome; Candidate gene; Biomarker; Transcriptional factor motifs.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2014001000834
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