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 …
Semantic similarity in biomedical ontologies
In recent years, ontologies have become a mainstream topic in biomedical research. When
biological entities are described using a common schema, such as an ontology, they can be …
biological entities are described using a common schema, such as an ontology, they can be …
PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework
Several molecular and phenotypic algorithms exist that establish genotype–phenotype
correlations, including facial recognition tools. However, no unified framework that …
correlations, including facial recognition tools. However, no unified framework that …
GOSemSim: an R package for measuring semantic similarity among GO terms and gene products
The semantic comparisons of Gene Ontology (GO) annotations provide quantitative ways to
compute similarities between genes and gene groups, and have became important basis for …
compute similarities between genes and gene groups, and have became important basis for …
[ΒΙΒΛΙΟ][B] Semantic similarity from natural language and ontology analysis
Artificial Intelligence federates numerous scientific fields in the aim of develo** machines
able to assist human operators performing complex treatments---most of which demand high …
able to assist human operators performing complex treatments---most of which demand high …
Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
D Wang, J Wang, M Lu, F Song, Q Cui - Bioinformatics, 2010 - academic.oup.com
Motivation: It is popular to explore meaningful molecular targets and infer new functions of
genes through gene functional similarity measuring and gene functional network …
genes through gene functional similarity measuring and gene functional network …
From single drug targets to synergistic network pharmacology in ischemic stroke
Drug discovery faces an efficacy crisis to which ineffective mainly single-target and symptom-
based rather than mechanistic approaches have contributed. We here explore a mechanism …
based rather than mechanistic approaches have contributed. We here explore a mechanism …
The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease
There are many thousands of hereditary diseases in humans, each of which has a specific
combination of phenotypic features, but computational analysis of phenotypic data has been …
combination of phenotypic features, but computational analysis of phenotypic data has been …
Network analysis reveals rare disease signatures across multiple levels of biological organization
Rare genetic diseases are typically caused by a single gene defect. Despite this clear
causal relationship between genotype and phenotype, identifying the pathobiological …
causal relationship between genotype and phenotype, identifying the pathobiological …
Identification of disease treatment mechanisms through the multiscale interactome
Most diseases disrupt multiple proteins, and drugs treat such diseases by restoring the
functions of the disrupted proteins. How drugs restore these functions, however, is often …
functions of the disrupted proteins. How drugs restore these functions, however, is often …