Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies

  1. Jonathan A. Atkinson
  2. Guillaume Lobet
  3. Manuel Noll
  4. Patrick E. Meyer
  5. Marcus Griffiths
  6. Darren M. Wells

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. GigaScience

    Now published in GigaScience doi: 10.1093/gigascience/gix084

    Jonathan A. Atkinson 1Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, United KingdomFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteORCID record for Jonathan A. AtkinsonGuillaume Lobet 2Agrosphere, IBG3, Forschungszentrum Jülich, Jülich, Germany3Earth and Life Institute, Université catholique de Louvain, Louvain-la-Neuve, BelgiumFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteORCID record for Guillaume LobetManuel Noll 4InBios, Université de Liège, Liège, BelgiumFind this author on Google ScholarFind this author on PubMedSearch for this author on this sitePatrick E. Meyer 4InBios, Université de Liège, Liège, BelgiumFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteMarcus Griffiths 1Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, United KingdomFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteORCID record for Marcus GriffithsDarren M. Wells 1Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, United KingdomFind this author on Google ScholarFind this author on PubMedSearch for this author on this siteORCID record for Darren M. Wells

    A version of this preprint has been published in the Open Access journal GigaScience (see paper https://doi.org/10.1093/gigascience/gix084 ), where the paper and peer reviews are published openly under a CC-BY 4.0 license.

    These peer reviews were as follows:

    Reviewer 1: http://dx.doi.org/10.5524/REVIEW.100810 Reviewer 2: http://dx.doi.org/10.5524/REVIEW.100811

  2. Version published to 10.1093/gigascience/gix084
  3. Version published to 10.1101/152702v1 on bioRxiv