this study was done to gain insights into transcriptional regulation of negative energy balance (neb) assoctiated genes. overexpressed genes in neb were identified using microarray and rna-seq data and promoter analysis of these overexpressed genes was applied to identify novel transcription factors. moreever, string database was used to construct a regulatory network of identified transcriptio...

Accumulation of genetic data in the field Parkinson's disease research culminated identifying risk factors and confident prediction occurrence. To find new gene-targets for diagnostics therapy we have to reconstruct gene network disease, cluster genes network, reveal key (hub) with largest number interactions network. Using on-line bioinformatics tools OMIM, PANTHER, g:Profiler, GeneMANIA, STRI...

In this work, we integrated prior knowledge from gene signatures and protein interactions with gene set enrichment analysis (GSEA), and gene/protein network modeling together to identify gene network signatures from gene expression microarray data. We demonstrated how to apply this approach into discovering gene network signatures for colorectal cancer (CRC) from microarray datasets. First, we ...

Gastric cancer (GC) is one of the leading causes of cancer mortality, worldwide. Molecular understanding of GC’s different subtypes is still dismal and it is necessary to develop new subtype-specific diagnostic and therapeutic approaches. Therefore developing comprehensive research in this area is demanding to have a deeper insight into molecular processes, underlying these subtypes. In this st...