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Tian-Jing Qiao

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2020 – today

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2024
[j2]
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  - journals/jcb/QiaoLYDW24
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Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang:
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. J. Comput. Biol. 31(6): 576-588 (2024)
2023
[j1]
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Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang:
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics 27(5): 2575-2584 (2023)
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Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang:
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA 2023: 178-189
2022
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  - conf/bibm/WangWQY22
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Juan Wang, Li-Hong Wang, Tian-Jing Qiao, Shasha Yuan:
A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data. BIBM 2022: 3179-3186
[c1]
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  - conf/sdsc/QiaoZ0SJW22
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Tian-Jing Qiao, Na-Na Zhang, Jin-Xing Liu, Junliang Shang, Cui-Na Jiao, Juan Wang:
THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints. SDSC 2022: 80-93

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