In this paper, we present the development and use of an automated platform that integrates the evaluation of genomic metadata from single-cells in colorectal tissues with the open source KEGG genomic database via API ...
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ISBN:
(数字)9798331502461
ISBN:
(纸本)9798331502478
In this paper, we present the development and use of an automated platform that integrates the evaluation of genomic metadata from single-cells in colorectal tissues with the open source KEGG genomic database via API using the Biopython package. The system collects and fuses the information into its own PostgreSQL database, from which the results of the analysis are transferred to a graphical user interface using the NpgSql extension. Thus, the implemented application allows the identification of molecular pathways and gene-specific drug targets associated with the mutated genes per cell, providing the combined visualization of tumor diagnostics and gene therapy opportunities. Using the application, 9 predefined gene panels, containing 2800 genes, were analyzed based on which the molecular pathway and drug target coverage of the genes, as well as the correlation between the pathways and drug target values were evaluated.
In branching process theory, linear-fractional distributions are commonly used to model individual reproduction, especially when the goal is to obtain more explicit formulas than those derived under general model assu...
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In most cases, application of the powerful evolutionary optimizing method is limited to tasks which can manage with short simulation runtimes, e.g. less than one minute. More precise simulations like discrete element ...
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In most cases, application of the powerful evolutionary optimizing method is limited to tasks which can manage with short simulation runtimes, e.g. less than one minute. More precise simulations like discrete element methods require much more time of up to 20 minutes and more. This can be solved by a parallelization of the optimization process. The parallel version of our optimization tool GADO (Genetic Algorithm for Design Optimization) based on structured populations scales linearly with the number of involved processors and, thus, enables us to handle optimization based on time-consuming simulation. This paper introduces the parallelization in brief and describes the optimization task. The micro fluidic component is a micro structured polymeric film of 80 μm thickness, which works as an actuator plate and can be used e.g. for tactile arrays. By varying the structures of the film, the mechanical behavior can be affected. The main optimization goals are a great deflection at a given working pressure and a limited tension of the film in order to achieve a long life time of the device. This is a highly multimodal problem and it requires chromosomes of dynamic length, as the optimal number of structures is one of the optimization parameters and itself depends on the geometry of the structures on hand. The obtained results are very promising and show that manual designs can be outdone in both performance and durability.
We prove that every monotone circuit which tests st-connectivity of an undirected graph on n nodes has depth Ω(log2n). This implies a superpolynomial (nOmega;(logn) lower bound on the size of any monotone formula for...
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Segmenting page images into text lines is a crucial pre-processing step for automated reading of historical documents. Challenging issues in this open research field are given e.g. by paper or parchment background noi...
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The article discusses the partial solution to image deblurring. In this problem, the best way to choose the regularization parameter is by eye. Some nonlinear reconstruction algorithms that reduce the problem are also...
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The article discusses the partial solution to image deblurring. In this problem, the best way to choose the regularization parameter is by eye. Some nonlinear reconstruction algorithms that reduce the problem are also discussed. In many applications, one must choose the regularization parameter by automatic methods rather than by eye.
An estimation of the generalization performance of classifier is one of most important problems in pattern clasification and neural network training theory. In this paper we estimate the generalization error (mean exp...
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An estimation of the generalization performance of classifier is one of most important problems in pattern clasification and neural network training theory. In this paper we estimate the generalization error (mean expected probability of classification) for randomized linear zero empirical error (RLZEE) classifier which was considered by Raudys, Dičiūnas and Basalykas. inst.ad of "non-explicit" asymptotics of a generalization error of RLZEE classifier for centered multivariate spherically Gaussian classes proposed by Basalykas et al. (1996) we obtain an "explicit" and more simple asymptotics. We also present the numerical simulations illustrating our theoretical results and comparing them with each other and previously obtained results.
We prove that the L(2,1)-LABELING problem is NP-complete for graphs of treewidth two, thus adding a natural and well studied problem to the short list of problems whose computational complexity separates treewidth one...
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