Multi-domain knowledge graph embeddings for gene-disease association prediction

[1] Asif M(2018)Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology PLoS ONE. 12 e0208626-D855

[2] Martiniano H(2019)The DisGeNET knowledge platform for disease genomics: 2019 update Nucleic Acids Res. 48 D845-679

[3] Couto F(1999)dbSNP-database for single nucleotide polymorphisms and other classes of minor genetic variation Genome Res. 9 677-274

[4] Piñero J(2006)Bio-ontologies: current trends and future directions Brief Bioinforma. 7 256-508

[5] Ramírez-Anguita JM(2016)Knowledge graph refinement: A survey of approaches and evaluation methods Semantic Web. 8 489-9

[6] Saüch-Pitarch J(2010)Associating genes and protein complexes with disease via network propagation PLoS Comput Biol 6 1-i456

[7] Ronzano F(2018)Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information Bioinformatics. 34 i447-348

[8] Centeno E(2014)Improved exome prioritization of disease genes through cross-species phenotype comparison PCR Methods Appl. 24 340-2743

[9] Sanz F(2019)Identifying disease-gene associations with graph-regularized manifold learning Front Genet 10 270-2140

[10] Sherry ST(2017)Knowledge Graph Embedding: A Survey of Approaches and Applications IEEE Trans Knowl Data Eng. 29 2724-2730

[1] Asif M(2018)Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology PLoS ONE. 12 e0208626-D855

[2] Martiniano H(2019)The DisGeNET knowledge platform for disease genomics: 2019 update Nucleic Acids Res. 48 D845-679

[3] Couto F(1999)dbSNP-database for single nucleotide polymorphisms and other classes of minor genetic variation Genome Res. 9 677-274

[4] Piñero J(2006)Bio-ontologies: current trends and future directions Brief Bioinforma. 7 256-508

[5] Ramírez-Anguita JM(2016)Knowledge graph refinement: A survey of approaches and evaluation methods Semantic Web. 8 489-9

[6] Saüch-Pitarch J(2010)Associating genes and protein complexes with disease via network propagation PLoS Comput Biol 6 1-i456

[7] Ronzano F(2018)Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information Bioinformatics. 34 i447-348

[8] Centeno E(2014)Improved exome prioritization of disease genes through cross-species phenotype comparison PCR Methods Appl. 24 340-2743

[9] Sanz F(2019)Identifying disease-gene associations with graph-regularized manifold learning Front Genet 10 270-2140

[10] Sherry ST(2017)Knowledge Graph Embedding: A Survey of Approaches and Applications IEEE Trans Knowl Data Eng. 29 2724-2730