Listar por tema "hierarchical clustering"
Mostrando ítems 1-4 de 4
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Chondrocyte protein co-synthesis network analysis links ECM mechanosensing to metabolic adaptation in osteoarthritis
(2021)Background: Knee osteoarthritis (OA) is one of the most common structural OA disorders globally. Incomplete understanding of the fundamental biological aspects of osteoarthritis underlies the current lack of effective ... -
Data-driven machine-learning analysis of potential embolic sources in embolic stroke of undetermined source
(2021)Background and purpose: Hierarchical clustering, a common ‘unsupervised’ machine-learning algorithm, is advantageous for exploring potential underlying aetiology in particularly heterogeneous diseases. We investigated ... -
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project
(2022)The ATHLOS cohort is composed of several harmonized datasets of international groups related to health and aging. As a result, the Healthy Aging index has been constructed based on a selection of variables from 16 individual ... -
Genetic profiling and volatile oil content of oregano genotypes from greece
(2020)Several oregano genotypes belonging to Origanum vulgare subsp. hirtum (Link) Ietsw., O. onites L., and O. majorana L., Lamiaceae, from Greece, were genetically and chemically studied. Genetic analysis with microsatellite ...