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A novel HMM-based clustering algorithm for the analysis of gene expression time-course data

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  • Zeng, Yujing
  • Garcia-Frias, Javier

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  • Zeng, Yujing & Garcia-Frias, Javier, 2006. "A novel HMM-based clustering algorithm for the analysis of gene expression time-course data," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2472-2494, May.
    • Handle: RePEc:eee:csdana:v:50:y:2006:i:9:p:2472-2494
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    Cited by:

    1. Pierpaolo D’Urso & Livia Giovanni & Riccardo Massari & Dario Lallo, 2013. "Noise fuzzy clustering of time series by autoregressive metric," METRON, Springer;Sapienza Università di Roma, vol. 71(3), pages 217-243, November.
    2. Li, Pai-Ling & Chiou, Jeng-Min, 2011. "Identifying cluster number for subspace projected functional data clustering," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2090-2103, June.
    3. 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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