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

Jae Keun Yoo, Becky S. Patterson, Susmita Datta

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)2109-2114
Number of pages6
JournalStatistics and Probability Letters
Volume79
Issue number20
DOIs
StatePublished - 15 Oct 2009

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