2024 Disease semantic similarity

Disease semantic similarity

Author: peva

August undefined, 2024

WebApr 1, 2012 · Disease similarity is estimated by using an ontological metric to measure semantic similarity between Gene Ontology (GO) processes associated with diseases. The biological processes (GO processes) are determined based on the genes known to be involved in each disease. WebJan 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 …

WebJul 26, 2016 · Mathur, S. & Dinakarpandian, D. Finding disease similarity based on implicit semantic similarity. J Biomed Inform 45, 363–371 (2012). Article Google Scholar Lin, D. An information-theoretic ... WebMar 3, 2024 · 'Semantic similarity' leads to novel drug candidates for Parkinson's disease AI compares how compounds are described to find new drug leads Date: March 3, 2024 Source: PLOS Summary: The words... the most toxic tf2 loadout

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WebJul 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. WebJun 16, 2014 · First of all, FunSim (Functional similarity) is proposed to calculate disease similarity using disease-related gene sets in a weighted network of human gene … Webdisease 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 ... how to describe strong writing skills

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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 20, 2024 · In this article, we designed and implemented an online tool DisSetSim to calculate the SSDS. Five state-of-art disease similarity methods (Resnik’s, Lin’s, … how to describe swallowingWebJul 31, 2009 · Semantic similarity has become a valuable tool for validating the results drawn from biomedical studies such as gene clustering, gene expression data analysis, prediction and validation of molecular interactions, and disease gene prioritization. We review semantic similarity measures applied to biomedical ontologies and propose their ... how to describe symbolism

"WebApr 20, 2024 · Disease semantic similarity The Medical Subject Heading (MeSH) database is a strict disease classification system, which can be used to effectively study … " - Disease semantic similarity

Disease semantic similarity

WebJun 29, 2011 · We used the disease similarity application to demonstrate the relationship between 128 different DO cancer terms. The hierarchical clustering of these 128 … 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.

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WebJun 29, 2011 · Background The construction of the Disease Ontology (DO) has helped promote the investigation of diseases and disease risk factors. DO enables researchers … WebJul 31, 2024 · Disease semantic similarity. Disease semantic similarity between two diseases can be calculated using their DAGs, which were constructed by mapping their …

WebMar 3, 2024 · 'Semantic similarity' leads to novel drug candidates for Parkinson's disease AI compares how compounds are described to find new drug leads Date: March 3, 2024 … 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.

WebThis package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for measuring semantic similarities among DO terms and gene products. … WebJun 10, 2015 · Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity ... biological datasets is one of the most important and popular topics in the fields of both lncRNAs and complex diseases. Functional similarity network construction could benefit the model development for both …

WebOct 13, 2024 · There are two ways of determining the similarity between two sets of classes A and B⁠. First, we can compute the pairwise similarities between all pairs of classes (a, b) such that a ∈ A and b ∈ B⁠, and then combine similarity values according to some combination strategy (such as computing the average).

WebFirstly, a bi-directional heterogeneous microbial disease network is constructed by integrating multiple similarities, including Gaussian kernel similarity, microbial function similarity,... the most toxic town in americaWebOct 6, 2024 · The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. how to describe syphilis rashWebApr 4, 2024 · This scoping review highlights the fact that both periodontitis and CO VID-19 independently increase serum pro-inflammatory cytokine levels, however there is a lack of documentation on if this biochemical profile synergizes with COVID-19 and/or periodontal severity in the same individuals. On 11 March 2024, the WHO declared a global … how to describe system obsolence riskWebMay 12, 2024 · Disease Ontology (DO) is the most widely used ontology for calculating disease similarity, which describes the hyponymy of diseases in the form of the ‘IS_A’ … how to describe table in dbeaverWebDisease-Mesh-Similarity For each disease, a directed acyclic graph (DAG) is constructed based on hierarchical descriptors, in which nodes represent disease MeSH descriptors (or disease terms) and edges … the most toxic substance on earth areWebSep 20, 2024 · Functional similarity between molecules results in similar phenotypes, such as diseases. Therefore, it is an effective way to reveal the function of molecules based on their induced diseases. However, the lack of a tool for obtaining the similarity score of pair-wise disease sets (SSDS) limits this type of application. Here, we introduce DisSetSim, … how to describe swimming when writingWebOct 1, 2024 · Semantic similarity can be used to generate statistical evidence for disease causation analogous to the traditional approach of primarily defining disease entities through similar clinical features. Previous article in issue; Next article in issue; Keywords. electronic medical records. how to describe table in oracle sql