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
Link To Document :
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