Sentence examples for enriched with knowledge from inspiring English sources

The phrase "enriched with knowledge" is correct and usable in written English.
It can be used to describe a person or a situation in which someone has gained knowledge. For example, "He was enriched with knowledge after attending the seminar."

Exact(2)

The methodology adopts concepts from the Root Cause Analysis method, which is further enriched with knowledge reuse features.

The traditional approach needs to be supplemented and enriched with knowledge from other fields such as sociology, psychology, management and economics ([ 13], [ 9], [ 11]).

Similar(58)

Such a society must be grounded on an iterative process whereby existing knowledge is constantly shared, consolidated and – crucially – enriched with new knowledge.

Finally, the results can also be enriched with functional knowledge gained on the proteins, detecting for instance differentially expressed gene ontology terms or biological pathways.

With its sophisticated physics, video screens, and microbiological beguilement, the movie conveys Dwan's state of shock regarding the rise of nuclear power, increasingly violent cities, and a military-scientific order in which power is enriched with arcane knowledge and where science defies, with Faustian audacity, the bounds of human decency.

A model represented in these formats can be further enriched with the knowledge from biological databases and ontologies, e.g., ChEBI [ 28], Uniprot [ 29], by annotating elements of the models (such as metabolites, reactions) with appropriate identifiers.

The correlation networks are built with the gene expression profiling data from (1) control (called the miR-null network) and (2) neuronal cells overexpressing miRNA-142 (called the miR-142 network) and are enriched with different knowledge sources derived from miRNA-mRNA seed mapping and differential gene expression.

However, when coexpression networks were enriched with the different knowledge sources mentioned above, the networks highlighted key genes impacted by the biological transformation.

In this paper, we describe a theoretically sound and fast method called the Dense ENriched Subgraph Enumeration (DENSE) algorithm that capitalizes on the availability of any "prior knowledge" about the proteins involved in a particular process and identifies overlapping sets of functionally associated proteins from an organismal network that are enriched with the given knowledge.

As befits a writer who lives more in the mind than in my physical surroundings, I base my work on memory, which I enrich with my knowledge of Somalia — where my novels are set — and supplement with my imagination.

Pei et al [ 37] and Zeng et al [ 38] describe cross-graph quasi-cliques, which use a similar notion of subgraph density as we do, but their work describes techniques for finding subgraphs that meet this density criterion across several graphs at once, whereas we are interested in quasi-cliques that are "enriched" with respect to some knowledge priors.

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