Spatial cluster detection of regression coefficients in a mixed‐effects model
Sign Up to like & getrecommendations! Published in 2019 at "Environmetrics"
DOI: 10.1002/env.2578
Abstract: Identifying spatial clusters of different regression coefficients is a useful tool for discerning the distinctive relationship between a response and covariates in space. Most of the existing cluster detection methods aim to identify the spatial… read more here.
Keywords: cluster detection; detection; regression coefficients; mixed effects ... See more keywords
Spatial cluster detection with threshold quantile regression
Sign Up to like & getrecommendations! Published in 2021 at "Environmetrics"
DOI: 10.1002/env.2696
Abstract: This publication is based upon work supported by King Abdullah University of Science and Technology (KAUST), Officeof Sponsored Research (OSR) under Award No. OSR-2019-CRG7-3800; by the IR/D program and grant DMS-1712760from the National Science Foundation.… read more here.
Keywords: cluster detection; quantile regression; science; detection threshold ... See more keywords
Cluster detection of spatial regression coefficients.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7172
Abstract: Popular approaches to spatial cluster detection, such as the spatial scan statistic, are defined in terms of the responses. Here, we consider a varying-coefficient regression and spatial clusters in the regression coefficients. For varying-coefficient regression,… read more here.
Keywords: cluster detection; methodology; regression coefficients; regression ... See more keywords
Congenital Anomalies: Cluster Detection and Investigation.
Sign Up to like & getrecommendations! Published in 2017 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-319-67144-4_29
Abstract: This work summarizes the main aspects to be considered around birth defects (or congenital anomalies) clusters. Most birth defects (BD), considered individually, fall into the definition of rare diseases (RD), according to their low frequency.… read more here.
Keywords: cluster detection; congenital anomalies; anomalies cluster; detection investigation ... See more keywords
Disease Cluster Detection and Functional Characterization
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DOI: 10.1109/access.2020.3013666
Abstract: Mechanisms underlying human diseases have been revealed with the development of molecular biology. The underlying molecular basis of disorders is valuable in prevention, diagnosis, and treatment. Decade-long efforts have been devoted to investigating disease–gene association… read more here.
Keywords: cluster detection; functional characterization; disease clusters; disease ... See more keywords
A Comparative Study of Cluster Detection Algorithms in Protein–Protein Interaction for Drug Target Discovery and Drug Repurposing
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Pharmacology"
DOI: 10.3389/fphar.2019.00109
Abstract: The interactions between drugs and their target proteins induce altered expression of genes involved in complex intracellular networks. The properties of these functional network modules are critical for the identification of drug targets, for drug… read more here.
Keywords: cluster detection; protein; network; detection algorithms ... See more keywords
[Progress in research on HIV cluster detection and response].
Sign Up to like & getrecommendations! Published in 2023 at "Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi"
DOI: 10.3760/cma.j.cn112338-20221114-00969
Abstract: HIV cluster detection and response (CDR) is a critical strategy to end the HIV epidemic by offering information to identify prevention and care services gaps. The risk metrics for HIV clusters can be classified into… read more here.
Keywords: hiv; cluster detection; detection response; hiv cluster ... See more keywords