文章基本信息

标题：Analysis of proteomics data: Bayesian alignment of functions
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作者：Wen Cheng ; Ian L. Dryden ; David B. Hitchcock 等
期刊名称：Electronic Journal of Statistics
印刷版ISSN：1935-7524
出版年度：2014
卷号：8
期号：2
页码：1734-1741
DOI：10.1214/14-EJS900C
语种：English
出版社：Institute of Mathematical Statistics
摘要：A Bayesian approach to function alignment is introduced. A model is proposed in the ambient space, with a Dirichlet prior for the derivative of the warping function and a Gaussian process for the square root velocity function. Posterior inference is carried out via Markov chain Monte Carlo simulation. The methodology is applied to a dataset of mass spectrometry scans. Good alignment is obtained for most of the known proteins, with more uncertainty at either end of each scan.