Shili Lin

Shili Lin is a statistician who studies the applications of statistics to genomic data. She is a professor of statistics at Ohio State University, and is president-elect of the Caucus for Women in Statistics.

Lin earned her Ph.D. in 1993 from the University of Washington. Her dissertation, supervised by Elizabeth A. Thompson, was ''Markov Chain Monte Carlo Estimates Of Probabilities On Complex Structures''. After working as a Neyman Visiting Assistant Professor at the University of California, Berkeley, she joined the Ohio State faculty in 1995.

She has been a fellow of the American Statistical Association since 2004, and a fellow of the American Association for the Advancement of Science since 2009. Provided by Wikipedia
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  1. 1
    An in silico procedure for generating protein-mediated chromatin interaction data and comparison of significant interaction calling methods.

    An in silico procedure for generating protein-mediated chromatin interaction data and comparison of significant interaction calling methods. by Shuyuan Lou, Shili Lin

    Published 2024-01-01
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  2. 2
    An in silico procedure for generating protein-mediated chromatin interaction data and comparison of significant interaction calling methods

    An in silico procedure for generating protein-mediated chromatin interaction data and comparison of significant interaction calling methods by Shuyuan Lou, Shili Lin

    Published 2024-01-01
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  3. 3
    ADAMTS13 activity and antigen during therapy and follow-up of patients with idiopathic thrombotic thrombocytopenic purpura: correlation with clinical outcome

    ADAMTS13 activity and antigen during therapy and follow-up of patients with idiopathic thrombotic thrombocytopenic purpura: correlation with clinical outcome by Shangbin Yang, Ming Jin, Shili Lin, Spero Cataland, Haifeng Wu

    Published 2011-10-01
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  4. 4
    A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting

    A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting by Yanhui Zhang, Shili Lin, Haiping Ma, Yuanjun Guo, Wei Feng

    Published 2021-01-01
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  5. 5
    Integration of scHi-C and scRNA-seq data defines distinct 3D-regulated and biological-context dependent cell subpopulations

    Integration of scHi-C and scRNA-seq data defines distinct 3D-regulated and biological-context dependent cell subpopulations by Yufan Zhou, Tian Li, Lavanya Choppavarapu, Kun Fang, Shili Lin, Victor X. Jin

    Published 2024-09-01
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  6. 6
    Gender Differences in Pulmonary Function, Respiratory Symptoms, and Macrophage Proteomics among HIV-Infected Smokers

    Gender Differences in Pulmonary Function, Respiratory Symptoms, and Macrophage Proteomics among HIV-Infected Smokers by Shiva D. Rahmanian, Karen L. Wood, Shili Lin, Mark A. King, April Horne, Shangbin Yang, Haifeng M. Wu, Philip T. Diaz

    Published 2014-01-01
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  7. 7
    Methane prediction equations including genera of rumen bacteria as predictor variables improve prediction accuracy

    Methane prediction equations including genera of rumen bacteria as predictor variables improve prediction accuracy by Boyang Zhang, Shili Lin, Luis Moraes, Jeffrey Firkins, Alexander N. Hristov, Ermias Kebreab, Peter H. Janssen, André Bannink, Alireza R. Bayat, Les A. Crompton, Jan Dijkstra, Maguy A. Eugène, Michael Kreuzer, Mark McGee, Christopher K. Reynolds, Angela Schwarm, David R. Yáñez-Ruiz, Zhongtang Yu

    Published 2023-12-01
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