A Prize-Collecting Steiner Tree Approach for Transduction Network Inference

Item Type: Article
MIUR type: Article > Journal article
Title: A Prize-Collecting Steiner Tree Approach for Transduction Network Inference
Authors string: M. Bailly-Bechet; A. Braunstein; R. Zecchina
University authors:
Journal or Publication Title: LECTURE NOTES IN COMPUTER SCIENCE
Referee type: Not specified type
Publisher: Springer
Volume: 5688
Page Range: pp. 83-95
Number of Pages: 13
ISSN: 0302-9743
Description/Info: Into the cell, information from the environment is mainly propagated via signaling pathways which form a transduction network. Here we propose a new algorithm to infer transduction networks from heterogeneous data, using both the protein interaction network and expression datasets. We formulate the inference problem as an optimization task, and develop a message-passing, probabilistic and distributed formalism to solve it. We apply our algorithm to the pheromone response in the baker's yeast S. cerevisiae. We are able to find the backbone of the known structure of the MAPK cascade of pheromone response, validating our algorithm. More importantly, we make biological predictions about some proteins whose role could be at the interface between pheromone response and other cellular functions
Date: 2009
Status: Published
Language of publication: English
Uncontrolled Keywords:
Departments (original): DIFIS - Physics
Departments: DISAT - Department of Applied Science and Technology
Related URLs:
    Subjects: Area 02 - Scienze fisiche > FISICA TEORICA, MODELLI E METODI MATEMATICI
    Date Deposited: 15 Dec 2009 16:12
    Last Modified: 06 Oct 2012 08:19
    Id Number (DOI): 10.1007/978-3-642-03845-7_6
    Permalink: http://porto.polito.it/id/eprint/2294450
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