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A multi-task CNN learning model for taxonomic assignment of human viruses.

Haoran MaTin Wee TanKenneth Hon-Kim Ban
Published in: BMC bioinformatics (2021)
We have developed a pipeline that combines a novel MT-CNN model that is able to identify viruses with divergent sequences together with assignment of the genomic region, with a Bayesian approach to ranking of taxonomic assignments by taking into account both the number of assigned reads and genomic coverage. The pipeline is available at GitHub via https://github.com/MaHaoran627/CNN_Virus .
Keyphrases
  • convolutional neural network
  • endothelial cells
  • copy number
  • genetic diversity
  • healthcare
  • induced pluripotent stem cells
  • gene expression
  • dna methylation
  • machine learning