Chen Guanrao, Larsen Peter, Almasri Eyad, Dai Yang
Department of Computer Science, University of Illinois at Chicago, IL 60607, USA.
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:5523-6. doi: 10.1109/IEMBS.2006.259261.
Currently there are various approaches to the reconstruction of gene regulatory networks from different sources of data. However, none of these methods incorporates explicitly scale-free property, one of the most important features of the targeted network, into their algorithms. In this paper, several network sampling strategies are explored on a set assembled from previous published gene interactions in yeast, expecting to reconstruct regulatory networks that are scale-free.
目前,有多种方法可用于从不同数据源重建基因调控网络。然而,这些方法中没有一种在其算法中明确纳入无标度特性,而无标度特性是目标网络最重要的特征之一。在本文中,我们在一个由先前发表的酵母基因相互作用数据集合上探索了几种网络采样策略,期望重建出具有无标度特性的调控网络。