Author

Feiyang Deng

University of MichiganORCID 0009-0003-4274-7866Unclaimed 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:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Assay:long-read sequencing· 1 Approach:statistical model· 1

Frequent Co-Authors

Chengfan Li· 1 shared Dongxiang XueiD· 1 shared Fan FengiD· 1 shared Feitong Tang· 1 shared Haohong Shang· 1 shared Hsiao H. SungiD· 1 shared Jean‐Philippe CartailleriD· 1 shared Jiahao Qiu· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Chengfan Li

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2 papers

Recent·Most cited

BioinformaticsNon-coding RNA ResearchPeer-reviewedAug 13, 2026

LncPNdeep: A long non-coding RNA classifier based on Large Language Model with peptide and nucleotide embedding

Zongrui Dai, Feiyang Deng, Hsiao H. Sung

LncPNdeep classifies long non-coding RNAs using a deep learning model that combines nucleotide and peptide embeddings, achieving high accuracy in human transcript data.

11 citations

humanlong-read sequencing

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BioinformaticsbioRxivPreprintSep 22, 2024

Building a literature knowledge base towards transparent biomedical AI

Yuanhao Huang, Zhaowei Han, Xin Luo…·Jie Liu

The paper develops a knowledge graph framework to extract biomedical knowledge from PubMed, creating a database that enhances transparency in biomedical AI applications.

6 citations

statistical modeldatabase / resource

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