Author

Dan Ruan

University of California, Los AngelesORCID 0000-0003-3400-7684Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Dan Ruan1 paper · University Medical Center Groningen

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Eric Nguyen· 1 shared Hengjie Liu· 1 shared Sujit Silas Armstrong SuthahariD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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3 top collaborators · 1 mutual co-author link

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1 shared paperBioengineering

Eric Nguyen

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 9, 2025

Generation of synthetic scRNA-seq-like transcriptomes using a generative adversarial network from RNA-seq data

Sujit Silas Armstrong Suthahar, Dan Ruan

This paper generates synthetic scRNA-seq-like transcriptomes from bulk RNA-seq data using a cycleGAN approach to bridge the resolution gap between bulk and single-cell transcriptomics.

DOI 10.1101/2025.10.09.681449

bulk RNA-seqscRNA-seq

𝕏 PostBluesky

BioengineeringMedical PhysicsPeer-reviewedOct 21, 2024

Necessity and Impact of Specialization of Large Foundation Model for Medical Segmentation Tasks

Eric Nguyen, Hengjie Liu, Dan Ruan

This study evaluates MedSAM and LiteMedSAM for medical image segmentation, finding that off-the-shelf performance is poor but specialized fine-tuning significantly improves accuracy.

11 citations

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