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Nan Sun
Education
Publications
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Nan Sun*, Hongyu Yu*, Ruohan Ren*, Tao Zhou*, Mengcen Guan*, Leqi Zhao*, Stephen S.-T. Yau. Grand Biological Universe: Genome space geometry unravels looking for a single metric is likely to be futile in evolution. bioRxiv. July 08, 2023.
[Link]
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Meng Fang*, Jiawei Xu*, Nan Sun and Stephen S.-T. Yau. Generating Minimal Models of H1N1 NS1 Gene Sequences Using Alignment-based and Alignment-free Algorithms. Genes, 2023. (IF 4.141 JCR Q2) [Link]
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Nan Sun and Stephen S.-T. Yau. In-depth Investigation of the Point Mutation Pattern of HIV-1. Frontiers in Cellular and Infection Microbiology, 2022. (IF 6.073 JCR Q1) [Link]
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Nan Sun, Xin Zhao and Stephen S.-T. Yau. An efficient numerical representation of genome sequence: natural vector with covariance component. PeerJ, 2022, 10:e13544. (IF 3.061 JCR Q2) [Link]
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Nan Sun, Jie Yang and Stephen S.-T. Yau. Identification of HIV rapid mutations using differences in nucleotide distribution over time. Genes, 2022, 13(170): 1-15. (IF 4.141 JCR Q2) [Link]
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Nan Sun*, Shaojun Pei*, Lily He, Changchuan Yin, Rong Lucy He and Stephen S.-T. Yau. Geometric construction of viral genome space and its applications. Computational and Structural Biotechnology Journal, 2021, 19: 4226-423. (IF 6.155 JCR Q1) [Link]
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Nan Sun*, Rui Dong*, Shaojun Pei, Changchuan Yin and Stephen S.-T. Yau. A new method based on coding sequence density to cluster bacteria. Journal of Computational Biology, 2020, 127(12): 1688-1698. (IF 1.549 JCR Q3) [Link]
Research Interests
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Bioinformatics
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Biostatistics
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AI for Medicine
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