References

[GenePlexus]

• Liu, R., Mancuso, C.A. et al. (2020) Supervised learning is an accurate method for network-based gene classification. Bioinformatics 36, 3457–3465

[GO]

• Ashburner, M., Ball, C., Blake, J. et al. (2000) Gene Ontology: tool for the unification of biology. Nat Genet 25, 25–29

• The Gene Ontology Consortium (2021) The Gene Ontology resource: enriching a GOld mine. Nucl. Acids Res. 49, D325-D334

[DisGeNet]

• Piñero, J. et al. (2019) The DisGeNET knowledge platform for disease genomics: 2019 update. Nucl. Acids Res. 48, D845-D855

• Piñero, J. et al. (2017) DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants. Nucl. Acids Res. 45, D833-D839

• Piñero, J. et al. (2015) DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes. Database

[BioGRID]

• Oughtred, R. et al. (2020) The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions. Protein Sci.

• Stark, C. et al. (2006) BioGRID: a general repository for interaction datasets. Nucl. Acids Res. 34, D535–D539

[STRING]

• Szklarczyk, D. et al. (2015) STRING v10: protein–protein interaction networks, integrated over the tree of life. Nucl. Acids Res. 43, D447–D452

[STRING-EXP]

• Szklarczyk, D. et al. (2015) STRING v10: protein–protein interaction networks, integrated over the tree of life. Nucl. Acids Res. 43, D447–D452

[GIANT-TN]

• Greene, C., Krishnan, A., Wong, A. et al. (2015) Understanding multicellular function and disease with human tissue-specific networks. Nat Genet 47, 569–576

[node2vec]

• Grover, A., Leskovec, J. (2016) Node2vec: Scalable Feature Learning for Networks. KDD ‘16 855–864

[Huang]

• Huang, J.K. et al. (2018) Systematic Evaluation of Molecular Networks for Discovery of Disease Genes. Cell Systems 6 484–495

[MyGeneInfo]

• Wu C, MacLeod I, Su AI* (2013) BioGPS and MyGene.info: organizing online, gene-centric information. Nucl. Acids Res. 43, D561-D565

• Xin J, et al.* (2016) High-performance web services for querying gene and variant annotation. Genome Biology, 17, 1-7

[DiseaseOntology]

• Schriml, L.M. et al.* (2019) Human Disease Ontology 2018 update: classification, content and workflow expansion. Nucl. Acids Res. 47 D955-D962