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Classification of gene functions using support vector machine for time-course gene expression data

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  • Park, Changyi
  • Koo, Ja-Yong
  • Kim, Sujong
  • Sohn, Insuk
  • Lee, Jae Won

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Suggested Citation

  • Park, Changyi & Koo, Ja-Yong & Kim, Sujong & Sohn, Insuk & Lee, Jae Won, 2008. "Classification of gene functions using support vector machine for time-course gene expression data," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2578-2587, January.
    • Handle: RePEc:eee:csdana:v:52:y:2008:i:5:p:2578-2587
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    References listed on IDEAS

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    1. James, Gareth M. & Sood, Ashish, 2006. "Performing hypothesis tests on the shape of functional data," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1774-1792, April.
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    Citations

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    Cited by:

    1. Allison, David B. & Visscher, Peter M. & Rosa, Guilherme J.M. & Amos, Christopher I., 2009. "Statistical genetics & statistical genomics: Where biology, epistemology, statistics, and computation collide," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1531-1534, March.
    2. Wang, Xianlong & Qu, Annie, 2014. "Efficient classification for longitudinal data," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 119-134.
    3. Liu, Shen & Maharaj, Elizabeth Ann & Inder, Brett, 2014. "Polarization of forecast densities: A new approach to time series classification," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 345-361.
    4. Edler, Lutz & Lee, Jae Won & Mittlböck, Martina & Niland, Joyce & Victor, Norbert, 2009. "Computational statistics within clinical research," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 583-585, January.
    5. Li, Pai-Ling & Chiou, Jeng-Min & Shyr, Yu, 2017. "Functional data classification using covariate-adjusted subspace projection," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 21-34.
    6. Liu, Shen & Maharaj, Elizabeth Ann, 2013. "A hypothesis test using bias-adjusted AR estimators for classifying time series in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 32-49.
    7. Shim, Jooyong & Sohn, Insuk & Kim, Sujong & Lee, Jae Won & Green, Paul E. & Hwang, Changha, 2009. "Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1736-1742, March.
    8. Nielsen, Jens D. & Rumí, Rafael & Salmerón, Antonio, 2009. "Supervised classification using probabilistic decision graphs," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1299-1311, February.
    9. Douzal-Chouakria, Ahlame & Diallo, Alpha & Giroud, Françoise, 2009. "Adaptive clustering for time series: Application for identifying cell cycle expressed genes," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1414-1426, February.

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