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Identifying and exploiting gene-pathway interactions from RNA-seq data for binary phenotype.

Fang ShaoYaqi WangYang ZhaoSheng Yang
Published in: BMC genetics (2019)
PEA is an efficient tool for identifying the GPIs from RNA-seq data. It can be further extended to identify the interactions between one variable and one functional set of other omics data for binary phenotypes.
Keyphrases
  • rna seq
  • single cell
  • electronic health record
  • big data
  • ionic liquid
  • machine learning
  • copy number
  • genome wide
  • transcription factor
  • artificial intelligence
  • genome wide identification