TY - GEN
T1 - Information design of biological networks
T2 - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
AU - Demongeot, J.
AU - Pempelfort, H.
AU - Martinez, J. M.
AU - Vallejos, R.
AU - Barria, M.
AU - Taramasco, C.
PY - 2013
Y1 - 2013
N2 - The restitution of biological information in the framework of a new discipline, the information design, aims to develop new user-friendly tools for facilitating the comprehension of the medical or biological reality by a polymorphic end-user (patient, physician, or researcher in bioinformatics, biomathematics and life sciences). For that purpose, challenging problems will be presented: i) how to represent in a hierarchical way different components (up trees, strong connected components, down trees,...) of the biological network interaction graph, ii) how to describe the state dynamics on a network, with both its transient and asymptotic behaviours, iii) how to combine anatomic and functional information about nodes and edges of the interaction graph, and iv) how to take into account the evolutions of the architecture, notably the dynamics about the number of nodes and interaction links, e.g., in case of a rapid demographic change in social networks. Proposal of solutions will be presented for the two first challenges and some issues will be clarified for the two last ones.
AB - The restitution of biological information in the framework of a new discipline, the information design, aims to develop new user-friendly tools for facilitating the comprehension of the medical or biological reality by a polymorphic end-user (patient, physician, or researcher in bioinformatics, biomathematics and life sciences). For that purpose, challenging problems will be presented: i) how to represent in a hierarchical way different components (up trees, strong connected components, down trees,...) of the biological network interaction graph, ii) how to describe the state dynamics on a network, with both its transient and asymptotic behaviours, iii) how to combine anatomic and functional information about nodes and edges of the interaction graph, and iv) how to take into account the evolutions of the architecture, notably the dynamics about the number of nodes and interaction links, e.g., in case of a rapid demographic change in social networks. Proposal of solutions will be presented for the two first challenges and some issues will be clarified for the two last ones.
KW - Attractor
KW - Genetic network
KW - Hierarchical representation
KW - Immunetwork
KW - Interaction graph
KW - Metabolic network
UR - http://www.scopus.com/inward/record.url?scp=84881396652&partnerID=8YFLogxK
U2 - 10.1109/WAINA.2013.173
DO - 10.1109/WAINA.2013.173
M3 - Conference contribution
AN - SCOPUS:84881396652
SN - 9780769549521
T3 - Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
SP - 1533
EP - 1540
BT - Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
Y2 - 25 March 2013 through 28 March 2013
ER -