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Assisted clustering of gene expression data using ANCut.

Sebastian J Teran HidalgoMengyun WuShuangge Ma
Published in: BMC genomics (2017)
We propose a more effective clustering analysis of gene expression data, with the assistance of information from regulators. It provides a new venue for analyzing gene expression data based on the assisted analysis strategy.
Keyphrases
  • gene expression
  • dna methylation
  • electronic health record
  • big data
  • rna seq
  • transcription factor
  • healthcare
  • data analysis