DocumentCode
190992
Title
Characterization of probabilistic signaling networks through signal propagation
Author
Gabr, Haitham ; Kahveci, Tamer
Author_Institution
Dept. of Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
fYear
2014
fDate
2-4 June 2014
Firstpage
1
Lastpage
2
Abstract
A large volume of research has been done to uncover different characteristics of biological network, such as large-scale organization, node centrality and network robustness. Nevertheless, the vast majority of research done in this area assume that biological networks have deterministic topologies. Biological interactions are however probabilistic events that may or may not appear at different cells or even in the same cell at different times. In this paper, we present results for characterizing H. sapiens probabilistic signaling networks using signal reachability, with respect to (i) centrality of nodes, (ii) stability of the network, and (iii) important network functions.
Keywords
cellular biophysics; microorganisms; molecular biophysics; probability; H. sapiens probabilistic signaling network characterization; biological interactions; biological network characteristics; cells; deterministic topologies; Bioinformatics; Network topology; Probabilistic logic; Proteins; Stability analysis; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on
Conference_Location
Miami, FL
Print_ISBN
978-1-4799-5786-6
Type
conf
DOI
10.1109/ICCABS.2014.6863909
Filename
6863909
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