Author

Ruixin Fei

Northeast Normal University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Dong He XuiD· 2 shared Fei HeiD· 2 shared Mingyue GaoiD· 2 shared Anjun MaiD· 1 shared Baichuan Jin· 1 shared Hao Cheng· 1 shared Jinpu LiiD· 1 shared Jordan Edward KrulliD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersCell Biology

Dong He XuORCID

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2 papers

Recent·Most cited

Harnessing the Power of Single-Cell Large Language Models with Parameter Efficient Fine-Tuning using scPEFT

Fei He, Ruixin Fei, Jordan Edward Krull, Yang Yu, Xinyu Zhang, Xianyu Wang, Hao Cheng, Mingyue Gao, Li Su, Yibo Chen, Jinpu Li, Baichuan Jin, Yuzhou Chang, Anjun Ma, Qin Ma, Dong He Xu

This paper introduces scPEFT, a parameter-efficient fine-tuning framework for scLLMs that improves task adaptation with reduced computational costs and enhances performance in disease-specific and cross-species analyses.

Nature Machine Intelligence · Dec 31, 2025Peer-reviewedCell Biology

Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification

Fei He, Ruixin Fei, Mingyue Gao, Li Su, Xinyu Zhang, Dong He Xu

This paper introduces parameter-efficient fine-tuning strategies to improve cell type identification in single-cell models, achieving better performance with reduced computational cost.

bioRxiv · Jan 27, 2024 · PreprintBioinformatics