Predicting disease-causing variant combinations

Proceedings of the National Academy of Sciences of the United States of America

Volumn 116, Issue 24, 2019, Pages 11878-11887

  Papadimitriou, Sofia ^a,b,c   Gazzo, Andrea ^a,b,d   Versbraegen, Nassim ^a,b   Nachtegael, Charlotte ^a,b   Aerts, Jan ^e,f   Moreau, Yves ^e,g   Van Dooren, Sonia ^a,b,d   Nowé, Ann ^a,c   Smits, Guillaume ^a,h,i   Lenaerts, Tom ^a,b,c  

^a Interuniversity Institute of Bioinformatics in Brussels (IB)2   (Belgium)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^c VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^d UNIVERSITY HOSPITAL BRUSSELS   (Belgium)

^e HASSELT UNIVERSITY   (Belgium)

^f Katholieke Universiteit Leuven   (Belgium)

^g IMEC   (Belgium)

^h HOP UNIV DES ENFANTS REINE FABIOLA   (Belgium)

ⁱ ERASME HOSPITAL   (Belgium)

Author keywords

Bilocus combination; Oligogenic; Pathogenicity; Prediction; Variants

Indexed keywords

ARTICLE; CONTROLLED STUDY; DECISION MAKING; GENE LOCUS; GENETIC ALGORITHM; GENETIC VARIATION; HUMAN; MACHINE LEARNING; PATHOGENICITY; PRIORITY JOURNAL; RARE DISEASE; VALIDATION STUDY; GENETIC MARKER; GENETIC PREDISPOSITION; GENETICS;

GENETIC MARKERS; GENETIC PREDISPOSITION TO DISEASE; GENETIC VARIATION; HUMANS; RARE DISEASES;

EID: 85067130542     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1815601116     Document Type: Article

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