Semantic similarity and machine learning with ontologies
Ontologies have long been employed in the life sciences to formally represent and reason
over domain knowledge and they are employed in almost every major biological database …
over domain knowledge and they are employed in almost every major biological database …
A literature review of gene function prediction by modeling gene ontology
Annotating the functional properties of gene products, ie, RNAs and proteins, is a
fundamental task in biology. The Gene Ontology database (GO) was developed to …
fundamental task in biology. The Gene Ontology database (GO) was developed to …
High-depth African genomes inform human migration and health
The African continent is regarded as the cradle of modern humans and African genomes
contain more genetic variation than those from any other continent, yet only a fraction of the …
contain more genetic variation than those from any other continent, yet only a fraction of the …
Partial multi-dividing ontology learning algorithm
W Gao, JLG Guirao, B Basavanagoud, J Wu - Information Sciences, 2018 - Elsevier
As an effective data representation, storage, management, calculation and model for
analysis, ontology has attracted more and more attention by researchers and it has been …
analysis, ontology has attracted more and more attention by researchers and it has been …
GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms
Measuring the semantic similarity between Gene Ontology (GO) terms is an essential step in
functional bioinformatics research. We implemented a software named GOGO for calculating …
functional bioinformatics research. We implemented a software named GOGO for calculating …
Corpus domain effects on distributional semantic modeling of medical terms
SVS Pakhomov, G Finley, R McEwan, Y Wang… - …, 2016 - academic.oup.com
Motivation: Automatically quantifying semantic similarity and relatedness between clinical
terms is an important aspect of text mining from electronic health records, which are …
terms is an important aspect of text mining from electronic health records, which are …
[HTML][HTML] Margin based ontology sparse vector learning algorithm and applied in biology science
In biology field, the ontology application relates to a large amount of genetic information and
chemical information of molecular structure, which makes knowledge of ontology concepts …
chemical information of molecular structure, which makes knowledge of ontology concepts …
Gene ontology semantic similarity tools: survey on features and challenges for biological knowledge discovery
GK Mazandu, ER Chimusa… - Briefings in bioinformatics, 2017 - academic.oup.com
Gene Ontology (GO) semantic similarity tools enable retrieval of semantic similarity scores,
which incorporate biological knowledge embedded in the GO structure for comparing or …
which incorporate biological knowledge embedded in the GO structure for comparing or …
Computing semantic similarity based on novel models of semantic representation using Wikipedia
R Qu, Y Fang, W Bai, Y Jiang - Information Processing & Management, 2018 - Elsevier
Abstract Computing Semantic Similarity (SS) between concepts is one of the most critical
issues in many domains such as Natural Language Processing and Artificial Intelligence …
issues in many domains such as Natural Language Processing and Artificial Intelligence …
Gene ontology enrichment improves performances of functional similarity of genes
W Liu, J Liu, JC Rajapakse - Scientific reports, 2018 - nature.com
There exists a plethora of measures to evaluate functional similarity (FS) between genes,
which is a widely used in many bioinformatics applications including detecting molecular …
which is a widely used in many bioinformatics applications including detecting molecular …