Skip to content
Cytognomix Logo
We find and validate mutations that others cannot
  • Home
  • Mission
    • Challenges in genomics: our solutions
  • Products
    • Biodosimetry: Automated Dicentric Chromosome Identifier
      • Testing for Radiation Exposure
    • Mutation Forecaster®
      • Interpretation of mutations in next generation sequencing data: Shannon pipeline
        • Testimonials for the Shannon pipeline
      • Automated Splice Site and Exon Definition Server (ASSEDA)
        • Publications
      • Software for validation of predicted mRNA splicing mutations
        • Testimonials for Veridical
      • Cytognomix User Variation Database (CUVD)
    • Solution capture pools for targeted deep sequencing
    • Targeted array CGH
    • Single copy FISH
      • Customized scFISH probes
      • Standard SC-FISH probes
      • Subtelomeric SC-FISH probes Catalog
    • Product advantages
    • Product Gallery
  • Posts
  • Purchase
    • Pricing
  • Contact Us
  • About us
    • Intellectual Property
    • Applications
  • Resources
  • SiteMap
  • Menu

March 1, 2016. Automated discrimination of dicentric chromosomes by machine learning

Posted on March 1, 2016March 1, 2016 by Peter Rogan

Paper:  LI_et_al-2016-Microscopy_Research_and_Technique

OnlineCoverpage

Written by: Peter Rogan on March 1, 2016.
Posted in News.

Post navigation

← Feb. 29, 2016. Publication on…
March 4, 2016. Presentation at… →

Recent Posts

  • January 25, 2024. Appreciation of Cytognomix’s COVID-19 research studies by the government of Ontario
  • Oct. 4, 2023. Radiobiology textbook published
  • Sept. 19, 2023. Democratizing ADCI as cloud-based software
  • May 25, 2023. CytoGnomix to present at final RCP meeting of IAEA CRP E35010 (MEDBIODOSE)
A SiteOrigin Theme