Sentence examples for analyses on the network from inspiring English sources

This work contributes to this aim, and we are making available for the scientific community the validated human gene coexpression networks obtained, to allow further analyses on the network or on some specific gene associations.

We converted this information into a logical hypergraph, and performed structural and functional analyses on the network following the framework proposed by Klamt and co-workers [ 17].

This experimental design was selected to concentrate analyses on the network of genes that are de-regulated shortly after the absence of functional Rx3 and not genes absent due to the later eyeless phenotype.

MetaNetX.org also offers an extensive tools section for analyses based on the network structure (stoichiometric matrix) or on flux balance analysis (Gianchandani et al., 2010).

Hereafter we focus our analyses on the core network.

We used the MATLAB toolbox CellNetAnalyzer 7.0 [ 17, 51] to perform structural and functional logical steady state analyses on the established network.

This report presents results from bibliometric analyses based on the networks' research publication record for the period 2006 2008 and considers the strengths and drawbacks of this approach in assessing the impact and performance of scientific research output for this (and potentially other) clinical trials programs.

Based on this validation, we provide more focused analyses on the inferred association network to highlight the biological significance of our findings.

Analyses on the gene regulatory network (GRN) have been conducted on 20 mouse cell lines or tissue types and 16 human cell lines or tissue types, and several characteristic GRN modules have been identified for each cell line or tissue type.

In the second part of our analyses we run algorithms on the network to measure its navigability.

As such, confirmatory factor analysis focuses analyses on the activation of hypothesized networks as a whole, improves statistical power by modeling measurement error, and provides a theory-based approach to data reduction with a robust statistical basis.