Sentence examples for using an interaction network from inspiring English sources
Predictions performed using an interaction network are typically based on the assumption that the experimental data is non-biased, which is not always the case [ 8].
Another type of knowledge-based analysis is the network-based analysis method, which uses an interaction network of biomolecules as the knowledge.
The agents interact using an underlying interaction network structure and get into consensus in their opinions, while finding better solutions to the problem.
The significance of correlations was assessed using a t-statistic and those supported by a p-value ≤ 0.05 were used to estimate an interaction network by drawing edges between all significantly correlated gene-pairs.
Subsequently, the ResNet mammalian database from Ariadne Genomics (http://www.ariadnegenomics.com/) was used to construct an interaction network of 235 DEGs with directed interactions (the 'global' network).
Ingenuity Pathway Analysis software (Ingenuity Systems, www.ingenuity.com) was used to generate an interaction network for genes of interest and for functional enrichment analysis of specific gene data sets.
New genes were identified based on known genes related to proliferative diabetic retinopathy using a protein protein interaction network with a shortest path approach.
Specifically, Leiserson et al. [ 10] identified sub-networks of ME and CO associations between genes using a protein protein interaction network as a scaffold.
In developmental biology the representation of interactions among different genes as gene regulatory networks has been widely accepted [ 13- 17] and in social sciences the analysis of human mobility patterns using a human interaction network helped us shed light on the dynamics of our society [ 18].
Taken together, these enrichments show how DEGAS can identify a focused subnetwork that contains the hallmarks of oncogenesis using a protein interaction network coupled with gene expression data comparing tumors to matching healthy tissues.
Using a protein interaction network seeded with cell cycle regulators, we found direct contact between 3 positional candidate genes and classical cell cycle genes.
