RedNemo: topology-based PPI network reconstruction via repeated diffusion with neighborhood modifications
Author(s) -
Ferhat Alkan,
Cesim Erten
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw655
Subject(s) - computer science , scalability , false positive paradox , network topology , throughput , enhanced data rates for gsm evolution , data mining , scale (ratio) , topology (electrical circuits) , distributed computing , artificial intelligence , computer network , mathematics , telecommunications , physics , quantum mechanics , database , combinatorics , wireless
Analysis of protein-protein interaction (PPI) networks provides invaluable insight into several systems biology problems. High-throughput experimental techniques together with computational methods provide large-scale PPI networks. However, a major issue with these networks is their erroneous nature; they contain false-positive interactions and usually many more false-negatives. Recently, several computational methods have been proposed for network reconstruction based on topology, where given an input PPI network the goal is to reconstruct the network by identifying false-positives/-negatives as correctly as possible.
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