Login / Signup

Pathway-targeting gene matrix for Drosophila gene set enrichment analysis.

Jack ChengLee-Fen HsuYing-Hsu JuanHsin-Ping LiuWei-Yong Lin
Published in: PloS one (2021)
Gene Set Enrichment Analysis (GSEA) is a powerful algorithm to determine biased pathways between groups based on expression profiling. However, for fruit fly, a popular animal model, gene matrixes for GSEA are unavailable. This study provides the pathway-targeting gene matrixes based on Reactome and KEGG database for fruit fly. An expression profiling containing neurons or glia of fruit fly was used to validate the feasibility of the generated gene matrixes. We validated the gene matrixes and identified characteristic neuronal and glial pathways, including mRNA splicing and endocytosis. In conclusion, we generated and validated the feasibility of Reactome and KEGG gene matrix files, which may benefit future profiling studies using Drosophila.
Keyphrases
  • genome wide
  • genome wide identification
  • copy number
  • emergency department
  • machine learning
  • spinal cord
  • drug delivery
  • single cell
  • cancer therapy
  • deep learning
  • adverse drug
  • neural network