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BMCBI
2008
77views more  BMCBI 2008»
13 years 7 months ago
Stochastic models for the in silico simulation of synaptic processes
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
JAMIA
2011
94views more  JAMIA 2011»
12 years 10 months ago
Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence
Objective Uncovering the dominant molecular deregulation among the multitude of pathways implicated in aggressive prostate cancer is essential to intelligently developing targeted...
James L. Chen, Jianrong Li, Walter M. Stadler, Yve...
APCCM
2009
13 years 8 months ago
Conceptional Modeling and Analysis of Spatio-Temporal Processes in Biomolecular Systems
In life science, deeper understanding of biomolecular systems is acquired by computational modeling and analysis. For the modeling of several kinds of reaction networks, e.g. sign...
Andreas Schäfer, Mathias John
TSP
2008
117views more  TSP 2008»
13 years 7 months ago
Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, com...
R. R. Nadakuditi, A. Edelman
HICSS
2005
IEEE
146views Biometrics» more  HICSS 2005»
14 years 1 months ago
Maintaining Continuous Dependability in Sensor-Based Context-Aware Pervasive Computing Systems
Sensors are often indicative of events of interest, or events which a system should be aware of and should react to. In particular, such indications may reflect unsteadiness or in...
Amir Padovitz, Arkady B. Zaslavsky, Seng Wai Loke,...