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Author Title [ Type(Desc)] Year
Journal Article
Soltan-Ghoraie, L., Burkowski, F. & Zhu, M., 2015. Sparse networks of directly coupled, polymorphic, and functional side chains in allosteric proteins. Proteins: Structure, Function, and Bioinformatics, 83, pp.497–516. Available at: http://doi.org/10.1002/prot.24752.
Yuan, Y., Su, W. & Zhu, M., 2015. Threshold-free measures for assessing the performance of medical screening tests. Frontiers in Public Health, 3, p.57. Available at: http://doi.org/10.3389/fpubh.2015.00057.
Parissenti, A.M. et al., 2015. Tumor RNA disruption predicts survival benefit from breast cancer chemotherapy. Breast Cancer Research and Treatment, 153, pp.135–144. Available at: http://doi.org/10.1007/s10549-015-3498-9.
Zhu, M., 2015. Use of majority votes in statistical learning. Wiley Interdisciplinary Reviews: Computational Statistics, 7, pp.357–371. Available at: http://doi.org/10.1002/wics.1362.
Soltan-Ghoraie, L. et al., 2014. Residue-specific side-chain polymorphisms via particle belief propagation. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11, pp.33–41. Available at: http://doi.org/10.1109/TCBB.2013.130.
Nguyen, J. & Zhu, M., 2013. Content-boosted matrix factorization techniques for recommender systems. Statistical Analysis and Data Mining: The ASA Data Science Journal, 6, pp.286–301. Available at: http://doi.org/10.1002/sam.11184.
Young, S.S., Yuan, F. & Zhu, M., 2012. Chemical descriptors are more important than learning algorithms for modelling. Molecular Informatics, 31, pp.707–710. Available at: http://doi.org/10.1002/minf.201200031.
Zhu, M., Wang, S. & Xin, L., 2012. On individual neutrality and collective decision making. The Mathematical Scientist, 37, pp.141–146. Available at: http://www.appliedprobability.org/data/files/TMS%20articles/37_2_8.pdf.
Xin, L. & Zhu, M., 2012. Stochastic stepwise ensembles for variable selection. Journal of Computational and Graphical Statistics, 21, pp.275–294. Available at: http://doi.org/10.1080/10618600.2012.679223.
Fan, G. & Zhu, M., 2011. Detection of rare items with TARGET. Statistics and Its Interface, 4, pp.11–17. Available at: http://doi.org/10.4310/SII.2011.v4.n1.a2.
Su, W., Chipman, H.A. & Zhu, M., 2011. Pseudo-likelihood inference underestimates model uncertainty: Evidence from Bayesian nearest neighbours. Journal of the Iranian Statistical Society, 10, pp.167–180. Available at: http://jirss.irstat.ir/article-1-162-en.html.
Zhu, M. & Fan, G., 2011. Variable selection by ensembles for the Cox model. Journal of Statistical Computation and Simulation, 81, pp.1983–1992. Available at: http://doi.org/10.1080/00949655.2010.511622.
Zhu, M. & Hastie, T.J., 2010. Letter to the editor. Journal of the American Statistical Association, 105, pp.880–881. Available at: http://doi.org/10.1198/jasa.2010.tm09295.
Gu, H., Kenney, T. & Zhu, M., 2010. Partial generalized additive models: An information-theoretic approach for dealing with concurvity and selecting variables. Journal of Computational and Graphical Statistics, 19, pp.531–551. Available at: http://doi.org/10.1198/jcgs.2010.07139.
Zhu, M., 2008. Kernels and ensembles: Perspectives on statistical learning. The American Statistician, 62, pp.97–109. Available at: http://doi.org/10.1198/000313008X306367.
Laflamme-Sanders, A. & Zhu, M., 2008. LAGO on the unit sphere. Neural Networks, 21, pp.1220–1223. Available at: http://doi.org/10.1016/j.neunet.2008.08.002.

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