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

Jae Keun Yoo, Becky S. Patterson and Susmita Datta

Statistics & Probability Letters, 2009, vol. 79, issue 20, 2109-2114

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.

Date: 2009
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