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Comparison of different cell type correction methods for genome-scale epigenetics studies.

Akhilesh KaushalHongmei ZhangWilfried J J KarmausMeredith RayMylin A TorresAlicia K SmithShu-Li Wang
Published in: BMC bioinformatics (2017)
Results from real data and simulations indicated that SVA is recommended when the focus is on the identification of informative CpGs. When appropriate reference data are available, the method implemented in the minfi package is recommended. However, if no such reference data are available or if the focus is not on estimating cell proportions, the SVA method is suggested.
Keyphrases
  • electronic health record
  • big data
  • single cell
  • machine learning
  • data analysis
  • gene expression
  • bone marrow
  • genome wide
  • deep learning
  • clinical evaluation
  • monte carlo