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BMCBI
2010
233views more  BMCBI 2010»
13 years 9 months ago
Odefy -- From discrete to continuous models
Background: Phenomenological information about regulatory interactions is frequently available and can be readily converted to Boolean models. Fully quantitative models, on the ot...
Jan Krumsiek, Sebastian Pölsterl, Dominik M. ...
BMCBI
2007
215views more  BMCBI 2007»
13 years 8 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
JCNS
2002
99views more  JCNS 2002»
13 years 8 months ago
Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
Michael Shelley, David McLaughlin
CSB
2005
IEEE
210views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Problem Solving Environment Approach to Integrating Diverse Biological Data Sources
Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
Eric G. Stephan, Kyle R. Klicker, Mudita Singhal, ...
BMCBI
2007
153views more  BMCBI 2007»
13 years 9 months ago
MPHASYS: a mouse phenotype analysis system
Background: Systematic, high-throughput studies of mouse phenotypes have been hampered by the inability to analyze individual animal data from a multitude of sources in an integra...
R. Brent Calder, Rudolf B. Beems, Harry van Steeg,...