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rPCMP: robust p-value combination by multiple partitions with applications to ATAC-seq data.

Menglan CaiLimin Li
Published in: BMC systems biology (2018)
Our proposed rPCMP method has been shown to be more robust and have higher statistical power. Simulation study shows that our method can effectively control the type I error rates and have higher statistical power than the existing methods. We finally apply our rPCMP method to an ATAC-seq dataset for discovering the related gene functions with chromatin states in mouse tumors T cell.
Keyphrases
  • genome wide
  • single cell
  • dna methylation
  • gene expression
  • transcription factor
  • copy number
  • electronic health record
  • big data
  • machine learning
  • oxidative stress
  • artificial intelligence