Author

Qinghua Lu

Commonwealth Scientific and Industrial Research OrganisationORCID 0000-0002-7783-5183Unclaimed ORCID profile · follow to get notified of new preprints

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Qinghua Lu1 paper · Hunan University

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Callum MacPhillamyiD· 1 shared Denis C. BaueriD· 1 shared Heng Lin YeapiD· 1 shared Kevin P. OhiD· 1 shared Letitia M.F. SngiD· 1 shared Michael J. KuiperiD· 1 shared Priya Ramarao-MilneiD· 1 shared Robert E. SpeightiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Callum MacPhillamyORCID

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1 paper

Recent·Most cited

Evaluating the cross-species transferability and scaling of sequence-to-function predictions in AlphaGenome

Priya Ramarao-Milne, Suyu Ma, Letitia M.F. Sng, Callum MacPhillamy, Heng Lin Yeap, Kevin P. Oh, Michael J. Kuiper, Qinghua Lu, Robert E. Speight, Denis C. Bauer

The paper evaluates AlphaGenome's cross-species performance on mouse data, showing varying accuracy for different functional tasks and introduces a confidence scoring method for AI predictions.

bioRxiv · Jul 10, 2026 · PreprintBioinformatics