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Here, we present synchronous and asynchronous versions of the piES algorithm, and apply them to a real reverse engineering problem: inferring parameters in the gap gene network.
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For a trivial case of a neutral mutation (when s = 0), there exists an undisputable solution to the problem inferred by the neutral theory of evolution.
The NLP module then analyzes each sentence and extracts potential medical problems, inferring the state of the problem using this contextual information.
We identify five properties of viable annotations and formulate the problem as a type-of-relationship problem in random graphs (TRR) by analogy with the related problem of inferring AS relationships from measured routing data.
State merging algorithms have emerged as the solution of choice for the problem of inferring regular grammars from labeled samples, a known NP-complete problem of great importance in the grammatical inference area.
Next, we give our formulation of the problem of inferring the global structure of chromosomes, and show that the problem is NP-complete.
Here, we formulate the problem of inferring the global structure of chromosomes from SVs as an optimization problem on a bidirected graph.
These authors argue that one problem in inferring the cause or an intention of an action is that the problem is ill-posed "because identical movements can be made when performing different actions with different goals".
This procedure decomposes the problem of inferring a network of size p into p different feature selection problems, where the goal is to identify the regulators of one of the genes of the network.
In this article, we formulate the problem of inferring subpopulations of tumor cells from VAF data obtained from a single tumor sample as the combinatorial problem of constructing a Binary Tree Partition (BTP).
The problem of inferring the 3D shape from a cross-section is similar to other 3D shape-from-X problems where observers have to make inferences about the 3D shape from limited perceptual information.
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