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TACAS
2007
Springer
99views Algorithms» more  TACAS 2007»
14 years 3 months ago
"Don't Care" Modeling: A Logical Framework for Developing Predictive System Models
Analysis of biological data often requires an understanding of components of pathways and/or networks and their mutual dependency relationships. Such systems are often analyzed and...
Hillel Kugler, Amir Pnueli, Michael J. Stern, E. J...
ENTCS
2007
91views more  ENTCS 2007»
13 years 8 months ago
Timed Concurrent Constraint Programming for Analysing Biological Systems
In this paper we present our rst approach to model and verify biological systems using ntcc, a concurrent constraint process calculus. We argue that the partial information const...
Julian Gutierrez, Jorge A. Pérez, Camilo Ru...
JCB
2006
185views more  JCB 2006»
13 years 9 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
BMCBI
2010
171views more  BMCBI 2010»
13 years 9 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
BMCBI
2008
107views more  BMCBI 2008»
13 years 9 months ago
Multi-agent systems in epidemiology: a first step for computational biology in the study of vector-borne disease transmission
Background: Computational biology is often associated with genetic or genomic studies only. However, thanks to the increase of computational resources, computational models are ap...
Benjamin Roche, Jean-François Guégan...