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Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions

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  • Yuan, Ming
  • Kendziorski, Christina

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  • Yuan, Ming & Kendziorski, Christina, 2006. "Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1323-1332, December.
    • Handle: RePEc:bes:jnlasa:v:101:y:2006:p:1323-1332
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    Citations

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    Cited by:

    1. Sayantee Jana & Narayanaswamy Balakrishnan & Dietrich Rosen & Jemila Seid Hamid, 2017. "High dimensional extension of the growth curve model and its application in genetics," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(2), pages 273-292, June.
    2. Nanshan, Muye & Zhang, Nan & Xun, Xiaolei & Cao, Jiguo, 2022. "Dynamical modeling for non-Gaussian data with high-dimensional sparse ordinary differential equations," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
    3. Hamid Jemila S & Beyene Joseph, 2009. "A Multivariate Growth Curve Model for Ranking Genes in Replicated Time Course Microarray Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-28, July.
    4. Hou Jiayi & Archer Kellie J., 2015. "Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(1), pages 93-111, February.
    5. Zhang Yuping & Tibshirani Robert J. & Davis Ronald W., 2010. "Predicting Patient Survival from Longitudinal Gene Expression," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-23, November.
    6. Lu Zhiheng K. & O. Brian Allen & Desmond Anthony F., 2012. "An Order Estimation Based Approach to Identify Response Genes for Microarray Time Course Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(6), pages 1-34, December.
    7. Vinciotti Veronica & Yu Keming, 2009. "M-quantile Regression Analysis of Temporal Gene Expression Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-22, September.
    8. Yueh-Yun Chi & Joseph G. Ibrahim & Anika Bissahoyo & David W. Threadgill, 2007. "Bayesian Hierarchical Modeling for Time Course Microarray Experiments," Biometrics, The International Biometric Society, vol. 63(2), pages 496-504, June.
    9. Yu Chuan Tai & Terence P. Speed, 2009. "On Gene Ranking Using Replicated Microarray Time Course Data," Biometrics, The International Biometric Society, vol. 65(1), pages 40-51, March.
    10. Yuan, Ming, 2006. "Flexible temporal expression profile modelling using the Gaussian process," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1754-1764, December.
    11. Farcomeni Alessio & Arima Serena, 2012. "A Bayesian autoregressive three-state hidden Markov model for identifying switching monotonic regimes in Microarray time course data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(4), pages 1-31, June.

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