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

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

Kuan-Hao Chao, Alan Mao, Anqi Liu, Steven L. Salzberg, Mihaela Pertea

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

bioRxiv · Mar 20, 2025 · PreprintGenomics

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

Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong‐Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, 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.

bioRxiv · May 16, 2024 · PreprintNeuroscience