Random walk with restart on multiplex and heterogeneous biological networks
Author(s) -
Alberto Valdeolivas,
Laurent Tichit,
Claire Navarro,
Sophie Perrin,
Gaëlle Odelin,
Nicolas Lévy,
Pierre Cau,
Élisabeth Rémy,
Anaı̈s Baudot
Publication year - 2018
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/bty637
Subject(s) - random walk , leverage (statistics) , computer science , exploit , theoretical computer science , multiplex , artificial intelligence , biology , mathematics , bioinformatics , statistics , computer security
Recent years have witnessed an exponential growth in the number of identified interactions between biological molecules. These interactions are usually represented as large and complex networks, calling for the development of appropriated tools to exploit the functional information they contain. Random walk with restart (RWR) is the state-of-the-art guilt-by-association approach. It explores the network vicinity of gene/protein seeds to study their functions, based on the premise that nodes related to similar functions tend to lie close to each other in the networks.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom