نتایج جستجو برای: grn reverse engineering models
تعداد نتایج: 1233163 فیلتر نتایج به سال:
Model-Based Performance Prediction (MBPP, [BDIS04a]) is a software engineering discipline which systematically deals with the evaluation of software performance. MBPP’s central idea is to predict the performance of a software system based on performance models. MBPP can be applied at design-time to avoid bottlenecks when designing a software architecture but also for existing software systems. ...
Building models to understand software systems is an important part of reverse engineering. Formal and explicit model building is important because it focuses attention on modeling as an aid to understanding and results in artifacts that may be useful to others. The representation used to build models has great innuence over the success and value of the result. Choosing the proper representatio...
The paper presents a knowledge-based reverse engineering approach to identify several parametric CAD models from point clouds and manage the relationships between the CAD models. This knowledge intensive process enables designer interaction to capture design intents and to integrate digital data from previous product in a new product lifecycle. The obtained parametric CAD models are easy to cha...
Most approaches to software reverse engineering focus on the empirical aspects of the recovery process. In these approaches, the proper level of abstraction for the software ingredients or architectural components are implicitly encoded within the analysis process. However, a rigorous reverse engineering approach should represent different software artifacts according to explicit domain models....
Scanners operating on the optical principle are devices for recording physical geometry of bodies suitable non-contact measurement which work in visible light range. These use difference contrasts and strength reflected measurement, by using classic triangulation principle. This article focuses reverse engineering technologies scanning process.
The effective reverse engineering of biochemical networks is one of the great challenges of systems biology. The contribution of this paper is two-fold: 1) We introduce a new method for reverse engineering genetic regulatory networks from gene expression data; 2) We demonstrate how nonlinear gene networks can be inferred from steady-state data alone. The reverse engineering method is based on a...
Mutations in the progranulin gene (GRN) are an important cause of frontotemporal lobar degeneration (FTLD) with ubiquitin and TAR DNA-binding protein 43 (TDP43)-positive pathology. The clinical presentation associated with GRN mutations is heterogeneous and may include clinical probable Alzheimer's disease. All GRN mutations identified thus far cause disease through a uniform disease mechanism,...
The virtual species (VS) and ecologist (VE) approaches are useful tools that allow testing different methodological aspects of distribution modelling. However, methods used to generate VS so far lack solutions can ensure a high degree biological realism, taking into account spatial temporal variability population densities. We have developed method for generating dynamic reconstruct their livin...
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