Estimation of protein diffusion parameters

被引:2
作者
Ghodsi, Zara [1 ]
Hassani, Hossein [2 ]
Kalantari, Mahdi [3 ]
Silva, Emmanuel Sirimal [4 ]
机构
[1] Bournemouth Univ, Stat Res Ctr, Poole BH12 5BB, Dorset, England
[2] Univ Tehran, Res Inst Energy Management & Planning, 13 Qods St, Tehran 1417466191, Iran
[3] Payame Noor Univ, Dept Stat, Tehran 193954697, Iran
[4] Univ Arts London, London Coll Fash, Fash Business Sch, London, England
来源
STAT | 2018年 / 7卷 / 01期
关键词
bicoid; diffusion; morphogen; noise reduction; parameter estimation; simulation; singular spectrum analysis; DROSOPHILA EMBRYO; ANTERIOR PATTERN; GENE-EXPRESSION;
D O I
10.1002/sta4.192
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Protein diffusion offers an essential and elegant mechanism for morphogen gradient formation. Morphogens are signalling molecules that emanate from a particular region of cells and create a gradient, which has an impact on most biological processes, including cell signalling and embryonic development. Using a method that is based on singular spectrum analysis, we estimate parameters introduced in the synthesis diffusion degradation model, which is a commonly applied model for a transcription factor known as bicoid. Our findings, consistent with simulation results, indicate that the proposed method can be practically applied as an enhanced parameter estimation technique with reduced sensitivity to various levels of noise. (c) 2018 John Wiley & Sons, Ltd.
引用
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页数:13
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