科研成果:
科研项目:
1.高维回归模型集成方法研究>, 深圳大学新引进教师校科研启动项目(自然科学类),2015-2017,主持
2.海量数据下回归模型的变量选择及统计推断研究,国家自然科学基金青年科学基金,项目2018/01~2020/12, 主持
3.高维回归模型的预测稳定性研究,国家自然科学基金数学天元专项基金,2017/01~2017/12, 主持
代表性学术论文:
1. Lin, B. and Pang, Z., Stability of methods for differential expression analysis of RNA-seq data. BMC genomics, 20:35 2019. (JCR: q1, IF:3.730)
2. Zhang, J., Lin, B. * and Li, G., Nonlinear regression models with general distortion measurement errors. Journal of Statistical Computation and Simulation 89 (8), 1482-1504, 2019. (JCR:q4; IF:0.501)
3. Zhang, J., Gai, Y., Lin, B. * and Zhu, X., Nonlinear regression models with single-index heteroscedasticity, Statistica Neerlandica, 73(2), 292-316, 2019. (JCR:q4; IF:0.433)
4. Zhou, Y., Zhu, J., Tong, T., Wang, J., Lin, B. and Zhang, J., A statistical normalization method and differential expression analysis for RNA-Seq between different species. BMC bioinformatics, 20(1), 2019. (JCR:q1; IF:2.511)
5. Chen, T., Lin, B., Geng, H. and Yu, B., Sensor drift calibration via spatial correlation model in smart building. Proceedings of the 56th Annual Design Automation Conference, 2019
6. Zhang, J., Lin, B., Zhou, Y. and Zhang J., Dimension reduction regressions with measurement errors subject to additive distortion. Journal of Statistical Computation and Simulation. 88: 2631-2649, 2018. (JCR: q3; IF: 0.869)
7. Li, W., Hong, R., Lai, L., Dong, Q., Ni, P. Chelliah, R., Huq, M. Ismail, S. Chandola, U., Ang, Z., Lin, B., Chen, X., Chen, L. and Zhang, L., Genome-wide RNAi screen identify melanoma-associated antigen mageb3 involved in X chromosome inactivation. Journal of Molecular Biology. 430:2734-2746, 2018. (JCR: q1; IF: 4.894)
8. Lin, B., Pang, Z. and Wang, Q., Cluster feature selection in high dimensional linear models. Random Matrices: Theory and Applications. 6: (1750015-1)-(1750015-23), 2018. (JCR: q3; IF: 0.784)
9. Hong, R., Lin, B., Chen X., Ng, H., Zhang, K. and Zhang, L., High-resolution RNA allelotyping along the inactive X chromosome: evidence of RNA polymerase III in regulating chromatin configuration. Scientific Reports, 7: 45460, 2017. (JCR: q1; IF: 4.122)
10. Zhang, J., Zhou, Y., Lin, B.* and Yu, Y., Estimation and hypothesis test on partial linear models with additive distortion measurement errors. Computational Statistics and Data Analysis. 112:114-128, 2017. (JCR: q2; IF: 1.181)
11. Lin, B. and Yu, B., Smart Building Uncertainty Analysis via Adaptive Lasso. IET Cyber-Physical Systems: Theory & Applications. 2:42-48, 2017.
12. Zhang, J., Chen, Q., Lin, B. * and Zhou, Y., On the single-index model estimate of the conditional density function: consistency and implementation. Journal of Statistical Planning and Inference. 187:56-66, 2017. (JCR: q3; IF: 0.814)
13. Lin, B., Wang, Q., Zhang, J. and Pang, Z., Stable prediction in high-dimensional linear models. Statistics and Computing, 27:1401-1412, 2017. (JCR: q1; IF: 1.851)
14. Pang, Z., Lin, B. and Jiang J., Regularization parameter selection via bootstrapping. Australian & New Zealand Journal of Statistics, 58:335-356, 2016. (JCR: q4; IF:0.385)
15. Huang, Z., Shao, Q., Pang, Z. and Lin, B., Adaptive testing for the partially linear single-index model with error-prone linear covariates. Statistical Methodology, 21:51-58, 2015. (JCR: q3; IF:0.670)
16. Lin, B., Zhang, L. and Chen, X., LFCseq: a nonparametric approach for differential expression analysis of RNA-seq data. BMC genomics, 15:s7, 2014. (JCR: q1, IF: 3.730)
17. Lin, B. and Pang, Z., Tilted correlation screening learning in high dimensional data analysis. Journal of Computational and Graphical Statistics, 23:478-496, 2014. (JCR: q1; IF:1.790)
18. Huang, Z., Pang, Z. and Lin, B., Model structure selection in single-index-coefficient regression models. Journal of Multivariate Analysis, 125:159:175, 2014. (JCR: q3; IF:1.009)
19. Lin, B.#, Pang, Z. and Jiang, J., Fixed and random effects selection by REML and pathwise coordinate optimization. Journal of Computational and Graphical Statistics, 22:341-355, 2013. (JCR: q1; IF:1.790)
20. Huang, Z., Lin, B., Feng, F. and Pang, Z., Efficient penalized estimating method in the partially varying-coefficient single-index model. Journal of Multivariate Analysis, 114:189–200, 2013. (JCR: q3; IF:1.009)
21. Cheon, G., Siddiqui,S., Lim, T., Seet,E., Lin, B., Palaniappan, S. and Koh, K., Thinking twice before using the LMA for obese and older patients-A prospective observational study. Journal of Anesthesia and Clinical Research, 2013.
* 杂志影响因子和JCR分区均来源于Web of Science,2019
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