Gene ontology and Graph theory

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Gene ontology and Graph theory

Gene ontology vs. Graph theory

Gene ontology (GO) is a major bioinformatics initiative to unify the representation of gene and gene product attributes across all species. In mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects.

Similarities between Gene ontology and Graph theory

Gene ontology and Graph theory have 1 thing in common (in Unionpedia): Directed acyclic graph.

Directed acyclic graph

In mathematics and computer science, a directed acyclic graph (DAG), is a finite directed graph with no directed cycles.

Directed acyclic graph and Gene ontology · Directed acyclic graph and Graph theory · See more »

The list above answers the following questions

What Gene ontology and Graph theory have in common
What are the similarities between Gene ontology and Graph theory

Gene ontology and Graph theory Comparison

Gene ontology has 45 relations, while Graph theory has 232. As they have in common 1, the Jaccard index is 0.36% = 1 / (45 + 232).

References

This article shows the relationship between Gene ontology and Graph theory. To access each article from which the information was extracted, please visit:

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