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Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding.

, , and . Bioinform., 29 (13): 199-209 (2013)

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Manifold learning and maximum likelihood estimation for hyperbolic network embedding., , and . Appl. Netw. Sci., (2016)MIPPIE: the mouse integrated protein-protein interaction reference., , , and . Database J. Biol. Databases Curation, (2020)Exploitation of complex network topology for link prediction in biological interactomes.. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2014)base-search.net (ftkingabdullahun:oai:repository.kaust.edu.sa:10754/322302).Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding., , and . Bioinform., 29 (13): 199-209 (2013)Distance Distribution between Complex Network Nodes in Hyperbolic Space., and . Complex Syst., (2016)Geometric characterisation of disease modules., , and . Appl. Netw. Sci., 3 (1): 10:1-10:17 (2018)The latent geometry of the human protein interaction network., , and . Bioinform., 34 (16): 2826-2834 (2018)Poster: Observing change in crowded data sets in 3D space - Visualizing gene expression in human tissues., , , , , , and . 3DUI, page 173-174. IEEE Computer Society, (2013)HIPPIE v2.0: enhancing meaningfulness and reliability of protein-protein interaction networks., , and . Nucleic Acids Res., 45 (Database-Issue): D408-D414 (2017)Generation and Interpretation of Context-Specific Human Protein-Protein Interaction Networks with HIPPIE., and . Protein-Protein Interaction Networks, volume 2074 of Methods in Molecular Biology, Springer, (2020)