IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-05792-3.html
   My bibliography  Save this article

Author Correction: Single cell transcriptome profiling of retinal ganglion cells identifies cellular subtypes

Author

Listed:
  • Bruce A. Rheaume

    (University of Connecticut School of Medicine)

  • Amyeo Jereen

    (University of Connecticut School of Medicine)

  • Mohan Bolisetty

    (The Jackson Laboratory for Genomic Medicine)

  • Muhammad S. Sajid

    (University of Connecticut School of Medicine)

  • Yue Yang

    (University of Connecticut School of Medicine)

  • Kathleen Renna

    (University of Connecticut School of Medicine)

  • Lili Sun

    (The Jackson Laboratory for Genomic Medicine)

  • Paul Robson

    (The Jackson Laboratory for Genomic Medicine
    Institute for Systems Genomics and Department of Genetics & Genome Sciences, University of Connecticut School of Medicine)

  • Ephraim F. Trakhtenberg

    (University of Connecticut School of Medicine)

Abstract

The original version of the Supplementary Information file associated with this Article contained an error in Supplementary Fig. 2. In panel c, the graph was inadvertently replaced with a duplicate of the graph in panel a. The error has now been fixed and the corrected version Supplementary Information PDF is available to download from the HTML version of the Article.

Suggested Citation

  • Bruce A. Rheaume & Amyeo Jereen & Mohan Bolisetty & Muhammad S. Sajid & Yue Yang & Kathleen Renna & Lili Sun & Paul Robson & Ephraim F. Trakhtenberg, 2018. "Author Correction: Single cell transcriptome profiling of retinal ganglion cells identifies cellular subtypes," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05792-3
    DOI: 10.1038/s41467-018-05792-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-05792-3
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-018-05792-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yunpei Xu & Shaokai Wang & Qilong Feng & Jiazhi Xia & Yaohang Li & Hong-Dong Li & Jianxin Wang, 2024. "scCAD: Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression data," Nature Communications, Nature, vol. 15(1), pages 1-20, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05792-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.