Author

Lin Liu

Yunnan Normal UniversityORCID 0000-0002-8773-6162Unclaimed ORCID profile · follow to get notified of new preprints

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Lin Liu7 papers · BGI Group (China)

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:imputation· 1

Frequent Co-Authors

Lin TangiD· 1 shared Lina MaiD· 1 shared Qi Liu· 1 shared Xi DengiD· 1 shared Yang ZhangiD· 1 shared Zhang ZhangiD· 1 shared Zhaoqi LiuiD· 1 shared Zhiqiang ZhangiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 11 mutual co-author links

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1 shared paperBioinformatics

Lin TangORCID

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3 papers

Recent·Most cited

Tensor-based representation learning for multi-omics integrative clustering and feature discovery

Yang Zhang, Lin Liu, Zhaoqi Liu, Qi Liu, Lina Ma, Zhang Zhang

MIA is a tensor-based framework for multi-omics data integration that improves clustering and feature discovery, showing effectiveness in cancer subtype identification.

bioRxiv · Sep 10, 2026 · PreprintBioinformatics

scIDPMs: Single-cell RNA-seq imputation using diffusion probabilistic models

Zhiqiang Zhang, Lin Liu

scIDPMs uses diffusion probabilistic models to impute missing gene expression values in scRNA-seq data, improving downstream analysis accuracy.

IEEE Journal of Biomedical and Health Informatics · Aug 2, 2024Peer-reviewedBioinformatics

GATLncLoc+C&S: Prediction of LncRNA subcellular localization based on corrective graph attention network

Xi Deng, Lin Tang, Lin Liu

The paper introduces GATLncLoc+C&S, a model for predicting LncRNA subcellular localization using a corrective graph attention network, achieving high accuracy on benchmark datasets.

bioRxiv · Mar 8, 2024 · PreprintBioinformatics