Network embedding unveils the hidden interactions in the mammalian virome

Network embedding unveils the hidden interactions in the mammalian virome

Summary: Predicting host-virus interactions is fundamentally a network science problem. We develop a method for bipartite network prediction that combines a recommender system (linear filtering) with an imputation algorithm based on low-rank graph embedding. We test this method by applying it to a g...

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Bibliographic Details
Main Authors: Timothée Poisot, Marie-Andrée Ouellet, Nardus Mollentze, Maxwell J. Farrell, Daniel J. Becker, Liam Brierley, Gregory F. Albery, Rory J. Gibb, Stephanie N. Seifert, Colin J. Carlson
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Patterns
Subjects:
DSML 3: Development/pre-production: Data science output has been rolled out/validated across multiple domains/problems
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389923000788

Internet

http://www.sciencedirect.com/science/article/pii/S2666389923000788

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