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ESA
2005
Springer
108views Algorithms» more  ESA 2005»
16 years 10 days ago
Bootstrapping a Hop-Optimal Network in the Weak Sensor Model
Sensor nodes are very weak computers that get distributed at random on a surface. Once deployed, they must wake up and form a radio network. Sensor network bootstrapping research t...
Martin Farach-Colton, Rohan J. Fernandes, Miguel A...
BMCBI
2006
118views more  BMCBI 2006»
15 years 6 months ago
Low degree metabolites explain essential reactions and enhance modularity in biological networks
Background: Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes an...
Areejit Samal, Shalini Singh, Varun Giri, Sandeep ...
BMCBI
2006
181views more  BMCBI 2006»
15 years 6 months ago
Automatic pathway building in biological association networks
Background: Scientific literature is a source of the most reliable and comprehensive knowledge about molecular interaction networks. Formalization of this knowledge is necessary f...
Anton Yuryev, Zufar Mulyukov, Ekaterina Kotelnikov...
WWW
2011
ACM
15 years 1 months ago
Finding the bias and prestige of nodes in networks based on trust scores
Many real-life graphs such as social networks and peer-topeer networks capture the relationships among the nodes by using trust scores to label the edges. Important usage of such ...
Abhinav Mishra, Arnab Bhattacharya
BMCBI
2011
14 years 10 months ago
FFCA: a feasibility-based method for flux coupling analysis of metabolic networks
Background: Flux coupling analysis (FCA) is a useful method for finding dependencies between fluxes of a metabolic network at steady-state. FCA classifies reactions into subsets (...
László Dávid, Sayed-Amir Mara...