Sentence examples for networks for analyzing from inspiring English sources

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It could thereby be useful to engineer defined neural networks for analyzing signal processing of functional circuits, as well as to unravel fundamental questions of the axon guidance mechanism.

Protein networks for analyzing shortest pathways between the identified proteins were built by MetaCore™ (Gene GO) software and Ingenuity Pathways Analysis (IPA) program (Ingenuity Systems) for identifying molecular partners involved in particular disease.

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So many energy measurement devices were integrated in the local power network for analyzing the grid data and to get a better comprehension over the power grid.

This study provides a framework for constructing a lung cancer-related synergistic regulatory network and for analyzing the biological functions of the network.

We will then explore network methods for analyzing power.

The objective of this study is to investigate and develop an artificial neural network model for analyzing the performance of ballistic fabrics made from Kevlar 29 single layer fabrics using their material properties as inputs.

CBE 535 Computational Biology of Cell Signaling Networks Computational tools for analyzing dynamics, control, and signal processing capabilities of cell signaling and gene expression networks.

We review and outline potential avenues for progress, including new theories of high dimensional data analysis, the need to analyze complex artificial networks, and methods for analyzing entire spaces of circuit models, rather than one model at a time.

Following construction of laboratories at Seibersdorf, assistance was provided to countries to comply with Codex standards and the International Code of Conduct on Pesticides through six networks validating methods for analyzing foods for pesticide residues and microbiological and mycotoxin contaminants.

At the same time, a one-dimensional network is suitable for analyzing highway-like VANETs, where the width of the road (lying in the interval [10-40 [10-40 significantly sm]ller than the transmissignificantly an IEEE 802.11 network interface.

Here, we develop a general co-expression network-based approach for analyzing both genes and samples in microarray data.

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