Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

A deep (learning) dive into a cell

Nature Methods volume 15, pages 253–254 (2018)Cite this article

Subjects

An interpretable, deep neural network produces mechanistic hypotheses on how genetic interactions contribute to whole-cell phenotypes.

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

Figure 1

References

  1. Zheng, Z. et al. bioRxiv Preprint at https://www.biorxiv.org/content/early/2017/06/13/140905 (2017).

  2. Costanzo, M. et al. Science 353, aaf1420 (2016).

    Article  Google Scholar 

  3. Ma, J. et al. Nat. Methods 15, 290–298 (2018).

    Article  CAS  Google Scholar 

  4. Funke, J. et al. arXiv Preprint at https://arxiv.org/abs/1709.02974 (2017).

  5. Ching, T. et al. bioRxiv Preprint at https://www.biorxiv.org/content/early/2018/01/19/142760 (2018).

  6. Ng, A. What artificial intelligence can and can't do right now. Harvard Business Review https://hbr.org/2016/11/what-artificial-intelligence-can-and-cant-do-right-now (2016).

  7. Lipton, Z.C. arXiv Preprint at https://arxiv.org/abs/1606.03490 (2016).

  8. The Gene Ontology Consortium. Nucleic Acids Res. 45, D331–D338 (2017).

Download references

Author information

Authors and Affiliations

  1. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA

    Kristin Branson

Authors
  1. Kristin Branson
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kristin Branson.

Ethics declarations

Competing interests

The author declares no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Branson, K. A deep (learning) dive into a cell. Nat Methods 15, 253–254 (2018). https://doi.org/10.1038/nmeth.4658

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nmeth.4658

Search

Advanced search

Quick links

Nature Briefing AI and Robotics

Sign up for the Nature Briefing: AI and Robotics newsletter — what matters in AI and robotics research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: AI and Robotics