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 |
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