학술논문
PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework
Document Type
Article
Author
Dingemans, A.J.M.; Truijen, K.M.G.; Goltstein, L.; van Reeuwijk, J.; de Leeuw, N.; Schuurs-Hoeijmakers, J.; Pfundt, R.; Diets, I.J.; de Boer, E.; Coenen-van der Spek, J.; van Bon, B.W.; Jonis, N.; Ockeloen, C.W.; Vulto-van Silfhout, A.T.; Kleefstra, T.; Koolen, D.A.; Vissers, L.E.L.M.; de Vries, B.B.A.; Hinne, M.; van Gerven, M.A.J.; den Hoed, J.; Jansen, S.; Campeau, P.M.; Palmer, E.E.; Van Esch, H.; Lyon, G.J.; Alkuraya, F.S.; Rauch, A.; Marom, R.; Baralle, D.; van der Sluijs, P.J.; Santen, G.W.E.; Kooy, R.F.
Source
In: Nature Genetics . (Nature Genetics, September 2023, 55(9):1598-1607)
Subject
Language
English
ISSN
15461718
10614036
10614036