Author

R Zhao

Roslin Institute

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Genomics· 1

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Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andrea TalentiiD· 1 shared James G. D. PrendergastiD· 1 shared MA Hassan· 1 shared Melissa M. MarriD· 1 shared Neil Chue HongiD· 1 shared R Owen· 1 shared Siddharth JayaramaniD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperGenomics

Andrea TalentiORCID

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1 paper

Recent·Most cited

The potential of AI models to identify regulatory variants underlying cattle traits

R Zhao, R Owen, Melissa M. Marr, Siddharth Jayaraman, Neil Chue Hong, Andrea Talenti, MA Hassan, James G. D. Prendergast

This paper develops a framework to predict regulatory variants in cattle using machine learning, achieving high performance and demonstrating enrichment for functional variants linked to important traits.

bioRxiv · Aug 1, 2024 · PreprintGenomics