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Phylo_dCor: distance correlation as a novel metric for phylogenetic profiling.

Gabriella SferraFederica FratiniMarta PonziElisabetta Pizzi
Published in: BMC bioinformatics (2017)
In this work, we constructed and assessed robust reference sets and propose the distance correlation as a measure for comparing phylogenetic profiles. To make it applicable to large genomic data, we developed Phylo-dCor, a parallelized version of the algorithm for calculating the distance correlation. Two R scripts that can be run on a wide range of machines are available upon request.
Keyphrases
  • machine learning
  • wastewater treatment
  • deep learning
  • electronic health record
  • single cell
  • big data
  • gene expression
  • artificial intelligence
  • dna methylation
  • neural network