淡江大學機構典藏:Item 987654321/53533
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/53533


    Title: Profiling time course expression of virus genes - An illustration of Bayesian inference under shape restrictions
    Authors: Chien, Li-Chu;Chang, I-Shou;Jiang, Shih-Sheng;Gupta, Pramod K.;Wen, Chi-Chung;Wu, Yuh-Jenn;Hsiung, Chao A.
    Contributors: 淡江大學數學學系
    Keywords: Baculovirus;Bernstein polynomials;genome-wide expression profile;Markov chain Monte Carlo;microarray experiments;shape restricted regression
    Date: 2009-12
    Issue Date: 2011-05-20 09:42:28 (UTC+8)
    Publisher: Beachwood: Institute of Mathematical Statistics
    Abstract: There have been several studies of the genome-wide temporal transcriptional program of viruses, based on microarray experiments, which are generally useful in the construction of gene regulation network. It seems that biological interpretations in these studies are directly based on the normalized data and some crude statistics, which provide rough estimates of limited features of the profile and may incur biases. This paper introduces a hierarchical Bayesian shape restricted regression method for making inference on the time course expression of virus genes. Estimates of many salient features of the expression profile like onset time, inflection point, maximum value, time to maximum value, area under curve, etc. can be obtained immediately by this method. Applying this method to a baculovirus microarray time course expression data set, we indicate that many biological questions can be formulated quantitatively and we are able to offer insights into the baculovirus biology.
    Relation: The Annals of Applied Statistics 3(4), pp.1542-1565
    DOI: 10.1214/09-AOAS258
    Appears in Collections:[Graduate Institute & Department of Mathematics] Journal Article

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