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This was done by assigning one or more synonyms to each ChemOnt category, and specifying the corresponding level or scope of term similarity.
We propose a three-step process in which a probabilistic topic modelling approach is used in order to uncover latent topics that provide the basis for item and term similarity calculation for the corresponding recommendations.
To estimate GO-based similarity scores of gene products, Schliker's measure was applied to compute GO term similarity.
SD stands for specificity-descendant term similarity measure.
All term similarity assessment strategies have strengths and weaknesses.
GO term similarity defines semantic similarity of proteins annotated with these terms.
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Very often gene products are annotated with multiple GO terms, in this case maximum [26], [27], average [13], [18], [28] or sum [29] of the GO term similarities may be taken as the gene similarity.
Semantic similarity between two entities genes or diseases is calculated from pairwise ontology term similarities.
A network of GO term similarities was generated using the Resnik GO semantic similarity (GOSS) score [ 56].
This assumption is reasonable because many applications are able to identify ontology term similarities via additional data sources.
A clustering profile provides a more thorough picture of GO term similarities than clustering using a single cutoff value.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com