Author

Anqi Liu

Johns Hopkins UniversityORCID 0000-0002-0468-5698Unclaimed 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:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:software / tool· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Alan MaoiD· 1 shared Anton OrlichenkoiD· 1 shared Gang QuiD· 1 shared Hong‐Wen DengiD· 1 shared Julia M. StepheniD· 1 shared Kuan-Hao ChaoiD· 1 shared Mihaela PerteaiD· 1 shared Steven L. SalzbergiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenomics

Alan MaoORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintMar 20, 2025

OpenSpliceAI: An efficient, modular implementation of SpliceAI enabling easy retraining on non-human species

Kuan-Hao Chao, Alan Mao, Anqi Liu…·Mihaela Pertea

OpenSpliceAI improves SpliceAI by implementing it in PyTorch, enabling faster processing and retraining on non-human species with reduced memory usage.

6 citations

DNA methylationdeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintMay 16, 2024

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds

Anton Orlichenko, Gang Qu, Ziyu Zhou…·Yu-Ping Wang

This paper introduces DemoVAE, a variational autoencoder that generates synthetic fMRI data conditioned on demographics and removes demographic confounds from fMRI features.

DOI 10.1101/2024.05.16.594528

variational autoencoder

𝕏 PostBluesky