A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 1331493
- Type
- D - Journal article
- DOI
-
10.7554/eLife.14093
- Title of journal
- eLife
- Article number
- e14093
- First page
- 1
- Volume
- 5
- Issue
- -
- ISSN
- 2050-084X
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
6
- Research group(s)
-
E - Mathematical Medicine and Biology
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
