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» Situations in Conceptual Modeling of Context
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BMCBI
2008
118views more  BMCBI 2008»
13 years 10 months ago
Kismeth: Analyzer of plant methylation states through bisulfite sequencing
Background: There is great interest in probing the temporal and spatial patterns of cytosine methylation states in genomes of a variety of organisms. It is hoped that this will sh...
Eyal Gruntman, Yijun Qi, R. Keith Slotkin, Ted Roe...
BMCBI
2005
156views more  BMCBI 2005»
13 years 9 months ago
A new dynamical layout algorithm for complex biochemical reaction networks
Background: To study complex biochemical reaction networks in living cells researchers more and more rely on databases and computational methods. In order to facilitate computatio...
Katja Wegner, Ursula Kummer
BMCBI
2010
185views more  BMCBI 2010»
13 years 10 months ago
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...
JELIA
2010
Springer
13 years 8 months ago
Stable Belief Sets Revisited
Stable belief sets were introduced by R. Stalnaker in the early ’80s, as a formal representation of the epistemic state for an ideal introspective agent. This notion motivated M...
Costas D. Koutras, Yorgos Zikos
ESANN
2007
13 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann