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Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software.

Clémentine DecampsFlorian PrivéRaphael BacherDaniel JostArthur Waguetnull nullEugene Andres HousemanEugene LuriePavlo LutsikAleksandar MilosavljevicMichael SchererMichael G B BlumMagali Richard
Published in: BMC bioinformatics (2020)
Based on the lessons learned, to facilitate pipeline validation and catalyze further pipeline improvement by the community, we develop a benchmark pipeline for inference of cell-type proportions and implement it in the R package medepir.
Keyphrases
  • dna methylation
  • single cell
  • healthcare
  • mental health
  • gene expression
  • genome wide
  • clinical practice
  • data analysis