Identification of human protein complexes from local sub-graphs of protein–protein interaction network based on random forest with topological structure features-Reference-Cited by-同舟云学术

Identification of human protein complexes from local sub-graphs of protein–protein interaction network based on random forest with topological structure features

Published:2012-03 Issue: Volume:718 Page:32-41
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Li Zhan-Chao,Lai Yan-Hua,Chen Li-Li,Zhou Xuan,Dai Zong,Zou Xiao-Yong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Scientific Technology Project of Guangdong Province

Ph.D. Programs Foundation of the Ministry of Education of China

Zhujiang Scientific Technology Star Project of Guangzhou City

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference53 articles.

1. Architecture of RNA Polymerase II and Implications for the Transcription Mechanism

2. Computational approaches for detecting protein complexes from protein interaction networks: a survey

3. A core-attachment based method to detect protein complexes in PPI networks

4. The nuclear pore complex: nucleocytoplasmic transport and beyond

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