About: SARS-CoV-2 virus RNA sequence classification and geographical analysis with convolutional neural networks approach   Goto Sponge  NotDistinct  Permalink

An Entity of Type : owl:Thing, within Data Space : wasabi.inria.fr associated with source document(s)

AttributesValues
value
  • SARS-CoV-2 virus RNA sequence classification and geographical analysis with convolutional neural networks approach
Subject
  • RNA
  • Zoonoses
  • DNA
  • Nucleic acids
  • Machine learning
  • COVID-19
  • Ohio State University
  • English-language journals
  • Molecular biology
  • Computer vision
  • Quarterly journals
  • Artificial neural networks
  • Computational neuroscience
  • Wiley-Blackwell academic journals
  • Publications established in 1969
  • Sarbecovirus
  • Chiroptera-borne diseases
  • Infraspecific virus taxa
  • Geography journals
part of
is hasSource of
is resource representing a document's title of
Faceted Search & Find service v1.13.91 as of Mar 24 2020


Alternative Linked Data Documents: Sponger | ODE     Content Formats:       RDF       ODATA       Microdata      About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data]
OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software