Showing 1 - 8 results of 8 for search 'Tucker, George Jay', query time: 0.03s Refine Results
  1. 1
    Statistical methods to infer biological interactions

    Statistical methods to infer biological interactions by Tucker, George Jay

    Published 2014
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    Thesis
  2. 2
    Phenotype Prediction Using Regularized Regression on Genetic Data in the DREAM5 Systems Genetics B Challenge

    Phenotype Prediction Using Regularized Regression on Genetic Data in the DREAM5 Systems Genetics B Challenge by Loh, Po-Ru, Tucker, George Jay, Berger, Bonnie

    Published 2012
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    Article
  3. 3
    A sampling framework for incorporating quantitative mass spectrometry data in protein interaction analysis

    A sampling framework for incorporating quantitative mass spectrometry data in protein interaction analysis by Loh, Po-Ru, Berger, Bonnie, Tucker, George Jay

    Published 2014
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    Article
  4. 4
    Widespread Macromolecular Interaction Perturbations in Human Genetic Disorders

    Widespread Macromolecular Interaction Perturbations in Human Genetic Disorders by Peng, Jian, Tucker, George Jay, Leighton, Alexander T., Berger Leighton, Bonnie

    Published 2017
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    Article
  5. 5
    Two-Variance-Component Model Improves Genetic Prediction in Family Datasets

    Two-Variance-Component Model Improves Genetic Prediction in Family Datasets by Tucker, George Jay, Loh, Po-Ru, MacLeod, Iona M., Hayes, Ben J., Goddard, Michael E., Berger Leighton, Bonnie, Price, Alkes L.

    Published 2020
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    Article
  6. 6
    A Quantitative Chaperone Interaction Network Reveals the Architecture of Cellular Protein Homeostasis Pathways

    A Quantitative Chaperone Interaction Network Reveals the Architecture of Cellular Protein Homeostasis Pathways by Taipale, Mikko, Krykbaeva, Irina, Lin, Zhen-Yuan, Larsen, Brett, Choi, Hyungwon, Gingras, Anne-Claude, Tucker, George Jay, Peng, Jian, Berger, Bonnie A., Lindquist, Susan

    Published 2016
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    Article
  7. 7
    Efficient Bayesian mixed-model analysis increases association power in large cohorts

    Efficient Bayesian mixed-model analysis increases association power in large cohorts by Loh, Po-Ru, Bulik-Sullivan, Brendan K, Vilhjálmsson, Bjarni J, Salem, Rany M, Chasman, Daniel I, Ridker, Paul M, Neale, Benjamin M, Patterson, Nick, Price, Alkes L, Tucker, George Jay, Finucane, Hilary Kiyo, Berger Leighton, Bonnie

    Published 2017
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    Article
  8. 8
    Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach

    Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach by Meyer, Pablo, Cokelaer, Thomas, Chandran, Deepak, Kim, Kyung H., Loh, Po-Ru, Lipson, Mark, Berger, Bonnie, Kreutz, Clemens, Raue, Andreas, Steiert, Bernhard, Timmer, Jens, Bilal, Erhan, DREAM 6&7 Parameter Estimation consortium, Sauro, Herbert M., Stolovitzky, Gustavo, Saez-Rodriguez, Julio, Tucker, George Jay

    Published 2014
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    Article

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