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SENSYS
2003
ACM
13 years 12 months ago
GEM: graph eMbedding for routing and data-centric storage in sensor networks without geographic information
The widespread deployment of sensor networks is on the horizon. One of the main challenges in sensor networks is to process and aggregate data in the network rather than wasting e...
James Newsome, Dawn Xiaodong Song
BMCBI
2010
179views more  BMCBI 2010»
13 years 6 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
BMCBI
2007
155views more  BMCBI 2007»
13 years 6 months ago
Current approaches to gene regulatory network modelling
Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network part...
Thomas Schlitt, Alvis Brazma
DASFAA
2006
IEEE
174views Database» more  DASFAA 2006»
13 years 10 months ago
Communication-Efficient Implementation of Range-Joins in Sensor Networks
Sensor networks are multi-hop wireless networks of resource constrained sensor nodes used to realize high-level collaborative sensing tasks. To query and access data generated and ...
Aditi Pandit, Himanshu Gupta
ALGOSENSORS
2006
Springer
13 years 10 months ago
Efficient Training of Sensor Networks
Abstract. Due to their small form factor and modest energy budget, individual sensors are not expected to be GPS-enabled. Moreover, in most applications, exact geographic location ...
Alan A. Bertossi, Stephan Olariu, Maria Cristina P...