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An OLS-based predictor test for a single-index model for predicting transcription rate from histone acetylation level

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  • Yoo, Jae Keun
  • Patterson, Becky S.
  • Datta, Susmita

Abstract

In this work a simultaneous procedure of selection of transcription factor binding motif scores and histone acetylation levels important to the transcription rates of genes is proposed for a single-index model. Multiple simulation studies confirm the theory of the proposed method. The method is illustrated using a real data set for histone acetylation of yeast.

Suggested Citation

  • Yoo, Jae Keun & Patterson, Becky S. & Datta, Susmita, 2009. "An OLS-based predictor test for a single-index model for predicting transcription rate from histone acetylation level," Statistics & Probability Letters, Elsevier, vol. 79(20), pages 2109-2114, October.
    • Handle: RePEc:eee:stapro:v:79:y:2009:i:20:p:2109-2114
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    References listed on IDEAS

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    1. Jae Keun Yoo & R. Dennis Cook, 2007. "Optimal sufficient dimension reduction for the conditional mean in multivariate regression," Biometrika, Biometrika Trust, vol. 94(1), pages 231-242.
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