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Construction of in silico protein-protein interaction networks across different topologies using machine learning
View ORCID ProfileLoïc Lannelongue, Michael Inouye
doi: https://doi.org/10.1101/2022.02.07.479382
Loïc Lannelongue
1Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
2British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
3Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
Michael Inouye
1Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
2British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
3Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
4Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
5British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
6The Alan Turing Institute, London, UK
Posted February 09, 2022.
Construction of in silico protein-protein interaction networks across different topologies using machine learning
Loïc Lannelongue, Michael Inouye
bioRxiv 2022.02.07.479382; doi: https://doi.org/10.1101/2022.02.07.479382
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