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Further, individual bioterms can be associated with topics with a given level of probability, and through the KL Divergence measure, a distance between any two terms can be generated via their probabilities of association with topics.
One step is equivalent to one direct parent child relationship between any two terms in an ontology, including relationships between GO molecular function and GO biological process terms.
Pairwise similarities between gene GO terms were measured using the semantic similarity method, which computes the relative distance between any two terms along the GO-graph [ 23].
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Identifying enriched interactions between any two GO terms based on molecular interactions between genes assigned to these two GO terms are more statistically reliable: interactions reflect statistically enriched temporal connections between multiple genes of one GO term and multiple genes of another.
The GOSS score between any two GO terms is inversely related to the number of genes assigned to the common parent of the GO terms, such that if the shared parent GO term is assigned many genes (i.e. the term is non-specific) then the GOSS score linking the GO terms is relatively low.
We define similarity between two proteins as the maximum similarity found between any two GO terms that annotate them.
We applied the online tool G-SESAME [ 20] and the python package FastSemSim [ 21] to calculate the functional similarity score between any two GO terms.
Moreover, these noise matrices are mutually independent of each other, and any cross-correlation between two terms with different noise matrices is zero.
No commas between the two terms, according to the stylebook.
"There is a huge difference between these two terms.
To what is an amount relative, and how might you get a person to understand the importance of differentiating between these two terms?
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com