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An equivalence approach to the integrative analysis of feature lists.

Álex Sánchez-PlaMiquel SalicrúJordi Ocaña
Published in: BMC bioinformatics (2019)
The method provides a simple yet powerful and statistically well-grounded way to classify a set of genes or other feature lists by establishing their equivalence at a given equivalence threshold. The classification results can be viewed using standard visualization methods. This may be applied to a variety of problems, from deciding whether a series of datasets generating the lists can be combined to the simplification of groups of lists.
Keyphrases
  • machine learning
  • deep learning
  • mental health
  • genome wide
  • rna seq
  • gene expression
  • dna methylation
  • transcription factor