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Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage

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Listed:
  • Naijun Sha
  • Marina Vannucci
  • Mahlet G. Tadesse
  • Philip J. Brown
  • Ilaria Dragoni
  • Nick Davies
  • Tracy C. Roberts
  • Andrea Contestabile
  • Mike Salmon
  • Chris Buckley
  • Francesco Falciani

Abstract

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Suggested Citation

  • Naijun Sha & Marina Vannucci & Mahlet G. Tadesse & Philip J. Brown & Ilaria Dragoni & Nick Davies & Tracy C. Roberts & Andrea Contestabile & Mike Salmon & Chris Buckley & Francesco Falciani, 2004. "Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage," Biometrics, The International Biometric Society, vol. 60(3), pages 812-819, September.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:3:p:812-819
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00233.x
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    References listed on IDEAS

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    1. P. J. Brown & M. Vannucci & T. Fearn, 2002. "Bayes model averaging with selection of regressors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 519-536, August.
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    Cited by:

    1. Alberto Cassese & Michele Guindani & Philipp Antczak & Francesco Falciani & Marina Vannucci, 2015. "A Bayesian model for the identification of differentially expressed genes in Daphnia magna exposed to munition pollutants," Biometrics, The International Biometric Society, vol. 71(3), pages 803-811, September.
    2. Lee Kyu Ha & Chakraborty Sounak & Sun Jianguo, 2011. "Bayesian Variable Selection in Semiparametric Proportional Hazards Model for High Dimensional Survival Data," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-32, April.
    3. Chakraborty, Sounak, 2009. "Simultaneous cancer classification and gene selection with Bayesian nearest neighbor method: An integrated approach," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1462-1474, February.
    4. Aijun Yang & Xuejun Jiang & Lianjie Shu & Jinguan Lin, 2017. "Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis," Computational Statistics, Springer, vol. 32(1), pages 127-143, March.
    5. Chen, Kun & Jiang, Wenxin & Tanner, Martin A., 2010. "A note on some algorithms for the Gibbs posterior," Statistics & Probability Letters, Elsevier, vol. 80(15-16), pages 1234-1241, August.
    6. Lizhen Shen & Hua Jiang & Mingfang He & Guoqing Liu, 2017. "Collaborative representation-based classification of microarray gene expression data," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-14, December.
    7. Naijun Sha & Benard Owusu Dechi, 2019. "A Bayes Inference for Ordinal Response with Latent Variable Approach," Stats, MDPI, vol. 2(2), pages 1-11, June.
    8. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
    9. Nicolai Meinshausen & Peter Bühlmann, 2010. "Stability selection," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(4), pages 417-473, September.
    10. Chakraborty, Sounak, 2009. "Bayesian binary kernel probit model for microarray based cancer classification and gene selection," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4198-4209, October.
    11. Onur Dagliyan & Fadime Uney-Yuksektepe & I Halil Kavakli & Metin Turkay, 2011. "Optimization Based Tumor Classification from Microarray Gene Expression Data," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-10, February.
    12. Aijun Yang & Yunxian Li & Niansheng Tang & Jinguan Lin, 2015. "Bayesian variable selection in multinomial probit model for classifying high-dimensional data," Computational Statistics, Springer, vol. 30(2), pages 399-418, June.
    13. Baragatti, M. & Pommeret, D., 2012. "A study of variable selection using g-prior distribution with ridge parameter," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1920-1934.
    14. Yang, Aijun & Jiang, Xuejun & Liu, Pengfei & Lin, Jinguan, 2016. "Sparse Bayesian multinomial probit regression model with correlation prior for high-dimensional data classification," Statistics & Probability Letters, Elsevier, vol. 119(C), pages 241-247.
    15. Shi, Guiling & Lim, Chae Young & Maiti, Tapabrata, 2019. "Bayesian model selection for generalized linear models using non-local priors," Computational Statistics & Data Analysis, Elsevier, vol. 133(C), pages 285-296.
    16. Victor Trevino & Mahlet G Tadesse & Marina Vannucci & Fatima Al-Shahrour & Philipp Antczak & Sarah Durant & Andreas Bikfalvi & Joaquin Dopazo & Moray J Campbell & Francesco Falciani, 2011. "Analysis of Normal-Tumour Tissue Interaction in Tumours: Prediction of Prostate Cancer Features from the Molecular Profile of Adjacent Normal Cells," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-13, March.

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