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BMCBI
2007
215views more  BMCBI 2007»
14 years 11 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
WINET
2010
159views more  WINET 2010»
14 years 10 months ago
Approximation algorithm for minimal convergecast time problem in wireless sensor networks
In this paper we consider how to collect data from sensors deployed in the Euclidean plane in a timeefficient way. We assume that all sensors could adjust their transmission range...
Weiping Shang, Peng-Jun Wan, Xiaodong Hu
IAT
2006
IEEE
15 years 5 months ago
An Intelligent Multi-hop Routing for Wireless Sensor Networks
With the advancement of micro-sensor and radio technology, wireless sensor networks are deployed in various applications. In a continuous monitoring application, sensors gather in...
Obidul Islam, Sajid Hussain
BMCBI
2010
143views more  BMCBI 2010»
14 years 12 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
BMCBI
2008
166views more  BMCBI 2008»
14 years 12 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf