@article{46c3be496de34cf995a6b5880b297111,
title = "An OLS-based predictor test for a single-index model for predicting transcription rate from histone acetylation level",
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.",
author = "Yoo, {Jae Keun} and Patterson, {Becky S.} and Susmita Datta",
note = "Funding Information: The authors are grateful to Guo-Cheng Yuan for providing the data and to the referees for many helpful comments. This research was partially funded by an Intramural Research Incentive Grant from the Office of the Executive Vice President for Research, University of Louisville (J.K. Yoo) and National Science Foundation, Statistics Program (DMS) (S. Datta).",
year = "2009",
month = oct,
day = "15",
doi = "10.1016/j.spl.2009.07.008",
language = "English",
volume = "79",
pages = "2109--2114",
journal = "Statistics and Probability Letters",
issn = "0167-7152",
publisher = "Elsevier",
number = "20",
}