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Integrative enrichment analysis of gene expression based on an artificial neuron.

Xue JiangWeihao PanMiao ChenWeidi WangWeichen SongGuan Ning Lin
Published in: BMC medical genomics (2021)
We proposed a novel integrative enrichment analysis method based on artificial neuron (IEAAN), which displays better prediction precision of disease-associated genes in comparison with the state-of-the-art statistical-based methods. Our comprehensive evaluation suggests that genes differentially expressed between striatum and liver tissues of health individuals are more likely to be Huntington's disease-associated genes.
Keyphrases
  • gene expression
  • genome wide
  • bioinformatics analysis
  • genome wide identification
  • healthcare
  • dna methylation
  • public health
  • mental health
  • health information
  • transcription factor
  • risk assessment
  • social media