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Enhancing schizophrenia phenotype prediction from genotype data through knowledge-driven deep neural network models.
Martins, Daniel; Abbasi, Maryam; Egas, Conceição; Arrais, Joel P.
Affiliation
  • Martins D; Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal; Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal.
  • Abbasi M; Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal; Polytechnic Institute of Coimbra, Applied Research Institute, Coimbra, Portugal; Research Centre for Natural Resources Environment and Society (CERNAS), P
  • Egas C; Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal; Biocant - Transfer Technology Association, Cantanhede, Portugal; CNC - CNC Center for Neuroscience and Cell Biology, Coimbra, Portugal.
  • Arrais JP; Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal.
Genomics ; 116(5): 110910, 2024 Aug 05.
Article in En | MEDLINE | ID: mdl-39111546
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Genomics Journal subject: GENETICA Year: 2024 Document type: Article Affiliation country: Portugal Country of publication: Estados Unidos
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Genomics Journal subject: GENETICA Year: 2024 Document type: Article Affiliation country: Portugal Country of publication: Estados Unidos