Author

Liyue Shen

Stanford UniversityORCID 0000-0001-5942-3196Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Assay:imaging· 1 Research Focus:imputation· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Akshay Sanjay ChaudhariiD· 1 shared Dave Van VeeniD· 1 shared Dmitry LyumkisiD· 1 shared Hongyi ReniD· 1 shared Jen‐Yeu WangiD· 1 shared Jesús G. Galaz-MontoyaiD· 1 shared John M. PaulyiD· 1 shared Lei XingiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

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10 top collaborators · 20 mutual co-author links

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1 shared paperMolecular Biology

Akshay Sanjay ChaudhariORCID

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2 papers

Recent·Most cited

Molecular BiologyInternational Journal of Molecular SciencesPeer-reviewedMay 17, 2024

Missing Wedge Completion via Unsupervised Learning with Coordinate Networks

Dave Van Veen, Jesús G. Galaz-Montoya, Liyue Shen…·John M. Pauly

This paper introduces an unsupervised learning approach using coordinate networks to address the missing wedge problem in cryoET, improving reconstruction quality and reducing runtime.

8 citations

imagingdeep learning

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BioinformaticsbioRxivPreprintJan 18, 2022

SERM: a self-consistent deep learning solution forrapid and accurate gene expression recovery

Md Tauhidul Islam, Jen‐Yeu Wang, Hongyi Ren…·Lei Xing

SERM improves gene expression imputation in scRNA-seq data with higher accuracy and 100-fold faster computation than existing methods.

DOI 10.1101/2022.01.18.476789

scRNA-seqdeep learning

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