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» TopoGSA: network topological gene set analysis
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BMCBI
2010
183views more  BMCBI 2010»
13 years 6 months ago
The complexity of gene expression dynamics revealed by permutation entropy
Background: High complexity is considered a hallmark of living systems. Here we investigate the complexity of temporal gene expression patterns using the concept of Permutation En...
Xiaoliang Sun, Yong Zou, Victoria J. Nikiforova, J...
GLOBECOM
2006
IEEE
14 years 2 months ago
Efficient Construction of Weakly-Connected Dominating Set for Clustering Wireless Ad Hoc Networks
In most of the proposed clustering algorithms for wireless ad hoc networks, the cluster-heads form a dominating set in the network topology. A variant of dominating set which is mo...
Bo Han, Weijia Jia
DSN
2006
IEEE
14 years 3 months ago
BlueGene/L Failure Analysis and Prediction Models
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s BlueGene/L which can acc...
Yinglung Liang, Yanyong Zhang, Anand Sivasubramani...
AB
2008
Springer
14 years 3 months ago
An Algorithm for Qualitative Simulation of Gene Regulatory Networks with Steep Sigmoidal Response Functions
A specific class of ODEs has been shown to be adequate to describe the essential features of the complex dynamics of Gene-Regulatory Networks (GRN). But, the effective exploitatio...
Liliana Ironi, Luigi Panzeri, Erik Plahte
BMCBI
2010
143views more  BMCBI 2010»
13 years 9 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