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Set-theory based benchmarking of three different variant callers for targeted sequencing.

José Arturo Molina-MoraMariela Solano-Vargas
Published in: BMC bioinformatics (2021)
Our set-theory approach to calculate metrics was able to identify the expected ICCs related variants by the three selected pipelines, but results were completely dependent on the algorithms. We emphasize the importance to assess pipelines using gold standard materials to achieve the most reliable results for clinical application.
Keyphrases
  • machine learning
  • copy number
  • single cell
  • deep learning
  • cancer therapy
  • gene expression
  • drug delivery
  • dna methylation
  • drug induced