Ngee Lek
Predicting puberty in partial androgen insensitivity syndrome: use of clinical and functional androgen receptor indices
Lek, Ngee; Tadokoro-Cuccaro, Reiko; Whitchurch, Jonathan B.; Mazumder, Bismoy; Miles, Harriet; Prentice, Philippa; Bunch, Trevor; Zielińska, Karolina; Metzler, Veronika Maria; Mongan, Nigel P.; Heery, David M.; Hughes, Ieuan A.
Authors
Reiko Tadokoro-Cuccaro
Jonathan B. Whitchurch
Bismoy Mazumder
Harriet Miles
Philippa Prentice
Trevor Bunch
Karolina Zielińska
Veronika Maria Metzler
NIGEL MONGAN nigel.mongan@nottingham.ac.uk
Professor of Oncology
DAVID HEERY david.heery@nottingham.ac.uk
Professor of Eucaryotic Gene Regulation
Ieuan A. Hughes
Citation
Lek, N., Tadokoro-Cuccaro, R., Whitchurch, J. B., Mazumder, B., Miles, H., Prentice, P., …Hughes, I. A. (2018). Predicting puberty in partial androgen insensitivity syndrome: use of clinical and functional androgen receptor indices. EBioMedicine, 36, 401-409. https://doi.org/10.1016/j.ebiom.2018.09.047
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 21, 2018 |
Online Publication Date | Oct 11, 2018 |
Publication Date | Oct 31, 2018 |
Deposit Date | Sep 26, 2018 |
Publicly Available Date | Oct 23, 2018 |
Journal | EBioMedicine |
Electronic ISSN | 2352-3964 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 36 |
Pages | 401-409 |
DOI | https://doi.org/10.1016/j.ebiom.2018.09.047 |
Public URL | https://nottingham-repository.worktribe.com/output/1133892 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S2352396418304067 |
Files
Predicting puberty
(949 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
The clinical and biological significance of estrogen receptor-low positive breast cancer
(2023)
Journal Article
Encapsulated papillary carcinoma of the breast: does it have a native basement membrane?
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search