Disease semantic similarity
WebMar 5, 2024 · Identifying patterns of such “semantic similarity” is one of the core skills of IBM Watson for Drug Discovery, an AI program run on a supercomputer that analyzes the published literature for patterns of keywords, phrases, and juxtapositions. WebSep 27, 2024 · According to previous works, the similarity calculation of metabolite similarity can be divided into two ways: one is the functional similarity of disease calculated by disease semantic similarity, the other is the Gaussian interaction profile (GIP) kernel similarity of metabolites.
Disease semantic similarity
Did you know?
WebMar 17, 2024 · This paper presents an improved approach based on the Longest Common Subsequence (LCS) and semantic similarity for automatic Chinese diagnoses, … WebSemantic similarity measures have been applied and developed in biomedical ontologies. [5] [6] They are mainly used to compare genes and proteins based on the similarity of …
WebFirstly, a bi-directional heterogeneous microbial disease network is constructed by integrating multiple similarities, including Gaussian kernel similarity, microbial function similarity,... WebJul 7, 2024 · Disease similarity methods are important for understanding disease mechanisms and relationships. Disease similarity results can be utilized in medical applications like drug repurposing and therapy development. In this paper, we present a new method for measuring disease similarity using biological process functional annotation.
WebJun 12, 2024 · Computational methods utilizing HPO for clinical differential diagnostics can be generally grouped into two types: semantic similarity-based methods, such as Phenomizer 4 and Disease... WebApr 1, 2012 · Disease similarity is estimated by using an ontological metric to measure semantic similarity between Gene Ontology (GO) processes associated with …
WebJul 31, 2024 · Disease semantic similarity. Disease semantic similarity between two diseases can be calculated using their DAGs, which were constructed by mapping their …
WebThis package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for measuring semantic similarities among DO terms and gene products. … aurelia luongoWebJun 29, 2011 · Background The construction of the Disease Ontology (DO) has helped promote the investigation of diseases and disease risk factors. DO enables researchers … aurelia lylesWebJul 31, 2024 · Disease semantic similarity between two diseases can be calculated using their DAGs, which were constructed by mapping their disease names into MeSH descriptors. MeSH descriptors were obtained from the National Library of Medicine [ 21] ( http://www.nlm.nih.Gov/ ), and the disease category of which was used here. aurelia louise jones booksWebJan 13, 2024 · A disease semantic similarity kernel is a 313 × 313 matrix M p,2. The element M p ,2 ( i , j ) is the similarity between disease p i and disease p j . The disease semantic similarity is accessible by MimMiner ( van Driel et al., 2006 ), which is a text mining approach to quantify phenotype relationships between human disease … aurelia louise jones telos 3 pdfWebdisease semantic similarity Xing Chen1,2,*, ChenggangClarence Yan3,*, Cai Luo3, Wen Ji4, Yongdong Zhang 5 & QionghaiDai 3 Increasing evidence has indicated that plenty of lncRNAs play important ... galenics 意味WebAug 17, 2015 · For the miRNA functional similarity, the semantic similarity of their associated disease groups was measured. the similarity calculation between miRNA u and v is taken as an example to demonstrate ... galenicsWebApr 20, 2024 · Disease semantic similarity The Medical Subject Heading (MeSH) database is a strict disease classification system, which can be used to effectively study … aurelia maria hennes