Alexandrov T, Golyandina N, Spirov A
Center for Industrial Mathematics, Department of Mathematics, University of Bremen, 28334 Bremen, Germany.
Res Lett Signal Process. 2008 Jan 1;2008. doi: 10.1155/2008/825758.
We present investigation of gene expression profiles by means of singular spectrum analysis (SSA). The biological problem under investigation is the decomposition of bicoid protein profiles of Drosophila melanogaster into the sum of a signal and noise, where the former consists of an exponential-in-distance pattern and is close to constant nonspecific component, or "background." The signal processing problems addressed are (i) trend extraction from a noisy signal, (ii) batch processing of similar data, and (iii) analytical approximation of the signal components by the sum of exponential and constant-like functions. The proposed methods are evaluated on the given 17 series.
我们通过奇异谱分析（SSA）对基因表达谱进行研究。所研究的生物学问题是将黑腹果蝇的双尾蛋白谱分解为信号和噪声之和，其中前者由距离指数模式组成，并且接近恒定的非特异性成分，即“背景”。所解决的信号处理问题包括：（i）从噪声信号中提取趋势；（ii）对相似数据进行批处理；（iii）用指数函数和类常数函数之和对信号成分进行解析近似。在所给出的17个序列上对所提出的方法进行了评估。
