Uncovering signaling networks based on high-throughput data

摘要：

BackgroundGenerally, the protein-protein interactions(PPIs) are assumed to be mediated by domaindomain interactions (DDI). We propose a novel discriminative method for predicting DDIs from both available experiment data of PPIs and the derived information of non-PPIs,which improves the prediction reliability. In particular, the DDI identification is formalized as a feature selection problem, which is consistent with the parsimonious principle and is able to predict both DDIs and PPIs in a systematic and accurate manner.

作者: Xing-Ming Zhao Luonan Chen

作者单位: Institute of Systems Biology Shanghai University, 200444 Shanghai, China

会议类型: 国际会议

会议名称: The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)

会议地点: 北京

会议语种:英文

页码: 870

在线出版日期: 2009-01-01（万方平台首次上网日期，不代表论文的发表时间）