Author

William de Vazelhes

ORCID 0000-0002-8234-6528Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Eric Poe XingiD· 2 shared Jing GongiD· 2 shared Le SongiD· 2 shared Xingyi ChengiD· 2 shared Changjiang Gou· 1 shared Han GuoiD· 1 shared Ning SuniD· 1 shared Pan Li· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Eric Poe XingORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintAug 22, 2026

Pretraining Enhances Megabase-Scale Gene Expression Prediction with GeneUnet

Ning Sun, William de Vazelhes, Pan Li…·Eric P. Xing

The paper introduces GB.GeneUnet, a transformer-based model pretrained on multi-species genomes to predict gene expression at megabase-scale contexts, achieving state-of-the-art performance.

DOI 10.64898/2026.08.13.744387

multiple speciesDNA methylation

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BioinformaticsbioRxivPreprintApr 30, 2026

Harnessing AI to Build Virtual Cells

Xingyi Cheng, Pan Li, Han Guo…·Eric Poe Xing

This paper introduces VCHarness, an AI system that automatically builds perturbation-response models for virtual cells, outperforming manual methods and reducing development time.

DOI 10.64898/2026.04.11.717183

deep learningstatistical model

𝕏 PostBluesky