Author

Feng Lin

Chinese Academy of Medical Sciences & Peking Union Medical College

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

Same name, identified by ORCID

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1 Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Amber Cardani-BoultoniD· 1 shared Bharath DandalaiD· 1 shared Bum Chul KwoniD· 1 shared Ching-Huei TsouiD· 1 shared Cornelia C. BergmanniD· 1 shared Dongping YangiD· 1 shared Guibiao Wen· 1 shared Guozhang CheniD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 8 mutual co-author links

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1 shared paperImmunology

Amber Cardani-BoultonORCID

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Author profile →

5 papers

Recent·Most cited

Stress-Associated Alterations in Amygdala-Striatal Activity: A Multi-Level Analysis of Distributional, Dynamical, and Computational Signatures

Feng Lin

The paper analyzes stress-induced changes in neural activity using distributional, dynamical, and computational approaches to characterize alterations in neural circuit dynamics without assuming a unified mechanistic explanation.

Journal of Computational Neuroscience · Jul 17, 2026Peer-reviewedNeuroscience

GENET: AI-Powered Interactive Visualization Workflows to Explore Biomedical Entity Networks

Bum Chul Kwon, Natasha Mulligan, Joao H. Bettencourt‐Silva, Ta‐Hsin Li, Bharath Dandala, Feng Lin, Ching-Huei Tsou, Pablo Meyer

GENET streamlines hypothesis generation for gene-disease associations by integrating AI-driven network analysis, literature mining, clustering, and visualization.

bioRxiv · Dec 16, 2025 · PreprintBioinformatics

Representation Transfer via Invariant Input-driven Neural Manifolds for Brain-inspired Computations

Tie Jun Xu, Shuchen Wu, Junwen Luo, Feng Lin, Junjie Jiang, Guozhang Chen, Yao Yang, Jieping Ye, Dongping Yang

The paper introduces a brain-inspired framework for domain adaptation in AI, using recurrent neural networks to create transferable representations that enable rapid few-shot adaptation with fewer parameters.

bioRxiv · Jul 27, 2025 · PreprintNeuroscience

CD6 Regulates CD4 T Follicular Helper Cell Differentiation and Humoral Immunity During Murine Coronavirus Infection

Amber Cardani-Boulton, Feng Lin, Cornelia C. Bergmann

This study shows CD6 suppresses CD4 T cell activation and follicular helper cell differentiation during viral infection, reducing antiviral humoral immunity.

bioRxiv · Jul 26, 2024Immunology

Applicability of Castration Model in Sex Difference Studies: Insights from Metabolome and Transcriptome Analyses

Jianjun Jiang, Na Ge, Yuzhi Wang, Juntao Qi, Guibiao Wen, Xiufen Gu, Xuewen Yu, Muming Shao, Yueming Luo, Kang-Shu-Yun Gu, Feng Lin, Shudong Yang, Wei Wei

This study evaluates the castration model's utility in sex difference research using metabolome and transcriptome analyses in mice, showing it can feminize metabolic and transcriptomic profiles.

bioRxiv · Dec 27, 2023 · PreprintSystems Biology