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BMCBI
2010
143views more  BMCBI 2010»
15 years 7 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
CN
2007
129views more  CN 2007»
15 years 7 months ago
Performance evaluation of MAC transmission power control in wireless sensor networks
In this paper we provide a method to analytically compute the energy saving provided by the use of transmission power control (TPC) at the MAC layer in wireless sensor networks (W...
Javier Vales-Alonso, Esteban Egea-López, Al...
JCB
2006
125views more  JCB 2006»
15 years 7 months ago
Hypothesis Generation in Signaling Networks
Biological signaling networks comprise the chemical processes by which cells detect and respond to changes in their environment. Such networks have been implicated in the regulati...
Derek A. Ruths, Luay Nakhleh, M. Sriram Iyengar, S...
CORR
2004
Springer
133views Education» more  CORR 2004»
15 years 7 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
NN
2000
Springer
134views Neural Networks» more  NN 2000»
15 years 7 months ago
Generic modeling of chemotactic based self-wiring of neural networks
The proper functioning of the nervous system depends critically on the intricate network of synaptic connections that are generated during the system development. During the netwo...
Ronen Segev, Eshel Ben-Jacob