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Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster

机译:用于描述果蝇胚胎发育问题中转录调控过程的潜能模型

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In the embryo development problem for the Drosophila melanogaster, a set of molecules known as mor-phogens are responsible for the embryo segmentation. These morphogens are encoded by different genes, including the GAP genes, maternal coordination genes and pair-rule genes. One of the maternal coordination genes encodes the Bicoid morphogen, which is the responsible for the development of the Drosophila embryo at the anterior part and for the control and regulation of the GAP genes in segmentation of the early development of the Drosophila melanogaster. The work presented in this document, reports a methodology that tends to integrate mechanistic and data driven based models, aiming at making inference over the mRNA Bicoid from gene expression data at the protein level for the Bicoid morphogen. The fundamental contribution of this work is the description of the concentration gradient of the Bicoid morphogen in the continuous spatio-temporal domain as well as the output regression (gene expression at protein level) using a Gaussian process described by a mechanistically inspired covariance function. Regression results and metrics computed for the Bicoid protein expression both in the temporal and spatial domains, showed outstanding performance with respect to reported experiments from previous studies. In this paper, a correlation coefficient of r = 0.9758 against a correlation coefficient of r = 0.9086 is being reported, as well as a SMSE of 0.0303±0.1512 against a SMSE of 0.1106±0.5090 and finally reporting a MSLL of −1.7036 ± 1.3472 against −1.0151±1.7669.
机译:在果蝇果蝇的胚胎发育问题中,一组称为mor-phogens的分子负责胚胎的分割。这些形态发生子由不同的基因编码,包括GAP基因,母体协调基因和成对规则基因。母体协调基因之一编码Bicoid morphogen,其负责果蝇前部果蝇胚胎的发育以及果蝇黑果蝇早期发育的节段中GAP基因的控制和调节。本文档中介绍的工作报告了一种趋向于将基于机械模型和数据驱动模型的模型进行集成的方法,旨在从Bicoid形态发生子的蛋白质水平的基因表达数据推断mRNA Bicoid。这项工作的基本贡献是使用机械激发的协方差函数描述的高斯过程描述了连续时空域中Bicoid形态发生子的浓度梯度以及输出回归(蛋白质水平的基因表达)。针对Bicoid蛋白在时域和空间域中的表达计算得出的回归结果和指标,相对于先前研究的报道实验显示出了出色的性能。本文报道了r = 0.9758与r = 0.9086的相关系数,以及SMSE为0.0303±0.1512相对于SMSE的0.1106±0.5090,最终报告了MSLL为-1.7036±1.3472。 −1.0151±1.7669。

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