Differential Co-Expression Networks using RNA-seq and microarrays in Alzheimer's disease

摘要: Differential Co-Expression Networks (DCENs) are graphical representations of genes showing differential co-expression pattern in response to experimental conditions or genetic changes. They have been successfully applied identify condition-specific modules and provide a picture the dynamic changes gene regulatory networks. DCENs analysis investigates differences among interconnections by calculating expression correlation change each pair between conditions. In this study, we collected many different datasets from NCBI GEO including 25 RNA-seq 2,102 microarray samples derived human brain blood Alzheimer's disease performed analyses functional responsible for characterization disease. The were generated using Pearson coefficient meta-analysis was conducted rank-based method. preliminary results show that structural characteristics can new insights into underlying dynamics There is low size overlap microarray- RNA-seq-derived however, would complement ones due higher coverage range RNA-seq.