Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7446
Title: SMILE: A novel procedure for subcellular module identification with localization expansion
Authors: Cheng, Lixin 
Liu, Pengfei 
Prof. LEUNG Kwong Sak 
Issue Date: 2017
Source: ACM-BCB 2017 - Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics pp. 754-755
Conference: ACM-BCB 2017 - Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics 
Abstract: We propose a novel procedure, Subcellular Module Identification with Localization Expansion (SMILE), to identify super modules that consist of several subcellular modules performing specific biological functions among cell compartments. These super modules identified by SMILE are more functionally diverse and have been verified to be more associated with known protein complexes and biological pathways compared with the modules identified from the global protein interaction networks in both the ComPPI and InWeb_InBioMap protein interaction datasets. Our results reveal that subcellular localization is a principal feature of functional modules and offers important guidance in detecting biologically meaningful results.
Type: Conference Paper
URI: http://hdl.handle.net/20.500.11861/7446
ISBN: 978-145034722-8
DOI: 10.1145/3107411.3110415
Appears in Collections:Applied Data Science - Publication

Show full item record

SCOPUSTM   
Citations

5
checked on Nov 17, 2024

Page view(s)

46
Last Week
0
Last month
checked on Nov 21, 2024

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.