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» Modelling Gene Regulatory Networks
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CEC
2007
IEEE
14 years 11 months ago
Multi-population approach to approximate the development of neocortical networks
— Cultured natural cortical neurons form functional networks through a complex set of developmental steps during the first weeks in vitro. The dynamic behavior of the network in...
Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana...
ICDCS
2000
IEEE
15 years 2 months ago
Secure Group Communication in Asynchronous Networks with Failures: Integration and Experiments
The increasing popularity and diversity of collaborative applications prompts a need for highly secure and reliable communication platforms for dynamic peer groups. Security mecha...
Jonathan Robert Stanton, Yair Amir, Damian Hasse, ...
NAR
2011
176views Computer Vision» more  NAR 2011»
14 years 20 days ago
IUPHAR-DB: new receptors and tools for easy searching and visualization of pharmacological data
The IUPHAR database is an established online reference resource for several important classes of human drug targets and related proteins. As well as providing recommended nomencla...
Joanna L. Sharman, Chidochangu P. Mpamhanga, Micha...
CORR
2010
Springer
228views Education» more  CORR 2010»
14 years 8 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
BMCBI
2010
229views more  BMCBI 2010»
14 years 10 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck