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Robust identification of regulatory variants (eQTLs) using a differential expression framework developed for RNA-sequencing.

Mackenzie A MarrellaFernando H Biase
Published in: Journal of animal science and biotechnology (2023)
Our results show that transforming RNA-sequencing data to fit a normal distribution prior to eQTL analysis is not required when the DGE framework is employed. Our proposed approach detected biologically relevant variants that otherwise would not have been identified due to data transformation to fit a normal distribution.
Keyphrases
  • single cell
  • electronic health record
  • copy number
  • big data
  • transcription factor
  • machine learning
  • data analysis
  • artificial intelligence
  • genome wide