Statistical inference for DNA sequences of promoters: a non-stationary qualitative model. Issue 1 (2nd January 2017)

• Record Type: Journal Article
• Authors: Li, Xiaoyin; Doukhan, Paul; Feugeas, Jean-Paul
• Is Part Of: Statistics. Volume 51:Issue 1(2017)
• Page Start: 154
• Page End: 166
• Publication Date: 2017-01-02
• Subjects: Modelling DNA -- dependence -- non-stationary -- promoters -- strong invariance principle -- simultaneous confidence bounds; Mathematical statistics -- Periodicals; 519.505
• DOI: 10.1080/02331888.2016.1261474
• Languages: English
• ISSNs: 0233-1888

Abstract

ABSTRACT: Gene promoters have variable repartition of AGCT nucleotides according to some probabilistic behaviours essentially depending on their position in a string. The paper aims to provide a model for this configuration. With this model we derive non-uniform confidence bounds for those probability distributions in the strings. A uniform bound deriving from previous works in Wu and Zhao [Inference of trends in time series. J R Stat Soc B. 2007;69:391–410] is more demanding for the model. A data-based study allows to clarify our suggestions and open the way for applications in molecular biology.