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Corrigendum to “High association of MOG-IgG antibodies in children with bilateral optic neuritis” [Eur. J. Paediatr. Neurol. 27 (2020) 86-93, (S1090379820300738), (10.1016/j.ejpn.2020.04.002)] | TU Dresden
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Machine Learning for the Identification of Key Predictors to Bayley Outcomes: A Preterm Cohort Study
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Gene family information facilitates variant interpretation and identification of disease-associated genes in neurodevelopmental disorders
Dennis Lal1,2,3,4,5 na1, Patrick May6 na1, Eduardo Perez-Palma4,5, Kaitlin E. Samocha2,3,7, Jack A. Kosmicki2,3, Elise B. Robinson2,3,8, Rikke S. Møller9,10, Roland Krause6, Peter Nürnberg4,11,12, Sarah Weckhuysen13,14,15, Peter De Jonghe13, Renzo Guerrini16, Lisa M. Niestroj4, Juliana Du4, Carla Marini16, EuroEPINOMICS-RES Consortium, James S. Ware17, Mitja Kurki2,3, Padhraig Gormley2,3, Sha Tang18, Sitao Wu18, Saskia Biskup19, Annapurna Poduri20, Bernd A. Neubauer21, Bobby P. C.
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