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A new pipeline for structural characterization and classification of RNA-Seq microbiome data.

Sebastian RacedoIvan PortnoyJorge Iván VélezHomero San-Juan-VergaraMarco SanjuanEduardo Zurek
Published in: BioData mining (2021)
Simulation experiments show that our method achieves a classification accuracy equal to or greater than 98% when using synthetic data. Finally, our method outperforms the other classification methods with real datasets from gene sequencing experiments.
Keyphrases
  • rna seq
  • single cell
  • deep learning
  • machine learning
  • big data
  • artificial intelligence
  • genome wide
  • copy number
  • data analysis
  • genome wide analysis