📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! Tell us what works, what doesn't, and how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community. Please send your feedback to gateway@ukri.org by 11 August 2025.

Multiscale digital Arabidopsis predicts individual organ and whole-organism growth. (2014)

First Author: Chew YH

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1073/pnas.1410238111

PubMed Identifier: 25197087

Publication URI: http://europepmc.org/abstract/MED/25197087

Type: Journal Article/Review

Volume: 111

Parent Publication: Proceedings of the National Academy of Sciences of the United States of America

Issue: 39

ISSN: 0027-8424