Author

Neil Chue Hong

University of EdinburghORCID 0000-0002-8876-7606Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:variant effect prediction· 2 Assay:DNA methylation· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Organism:multiple species· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andrea TalentiiD· 2 shared James G. D. PrendergastiD· 2 shared Albert TenesaiD· 1 shared George E. LiuiD· 1 shared Lingzhao FangiD· 1 shared MA Hassan· 1 shared Melissa M. MarriD· 1 shared Musa A. HassaniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Andrea TalentiORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintAug 1, 2024

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

R Zhao, R Owen, Melissa M. Marr…·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.

2 citations

DNA methylationwhole-genome sequencing

𝕏 PostBluesky

GeneticsCommunications BiologyPeer-reviewedSep 21, 2022

The conservation of human functional variants and their effects across mammals

Rongrong Zhao, Andrea Talenti, Lingzhao Fang…·James G. D. Prendergast

This study identifies human functional variants with conserved effects in livestock species, showing their utility for understanding disease mechanisms.

24 citations

humanmultiple species

𝕏 PostBluesky