期刊论文

Dai, Dao-Qing

英文

BMC Bioinformatics

1471-2105

2014

15

1

1-15

10.1186/1471-2105-15-186

We thank the associate editor and the anonymous reviewers for their helpful suggestions which have brought improvement of this work. This work is supported by the National Science Foundation of China [11171354 and 61375033 to XFZ, DQD, LOY], the Ministry of Education of China [20120171110016 to XFZ, DQD, LOY], the Natural Science Foundation of Guangdong Province [S2013020012796 to XFZ, DQD, LOY], and City University of Hong Kong [9610308 to HY].

本校为第一机构

Background: Identification of protein complexes can help us get a better understanding of cellular mechanism. With the increasing availability of large-scale protein-protein interaction (PPI) data, numerous computational approaches have been proposed to detect complexes from the PPI networks. However, most of the current approaches do not consider overlaps among complexes or functional annotation information of individual proteins. Therefore, they might not be able to reflect the biological reality faithfully or make full use of the available d...