Search Results - "Zhang, Tonglin"
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SiGra: single-cell spatial elucidation through an image-augmented graph transformer
Published in Nature communications (12-09-2023)“…Recent advances in high-throughput molecular imaging have pushed spatial transcriptomics technologies to subcellular resolution, which surpasses the…”
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A Dynamic Multi-Scale Convolution Model for Face Recognition Using Event-Related Potentials
Published in Sensors (Basel, Switzerland) (05-07-2024)“…With the development of data mining technology, the analysis of event-related potential (ERP) data has evolved from statistical analysis of time-domain…”
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Limiting distribution of the G statistics
Published in Statistics & probability letters (01-09-2008)“…The G statistic and its local version have been used extensively in spatial data analysis. The paper proves the asymptotic normality of the G statistic…”
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Family of power divergence spatial scan statistics
Published in Computational statistics & data analysis (01-07-2014)“…The classical spatial scan test, which derived by maximizing the likelihood ratio statistic over a collection of cluster candidates, is widely used in spatial…”
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5
Oncogenic function of DACT1 in colon cancer through the regulation of β-catenin
Published in PloS one (21-03-2012)“…The Wnt/β-catenin signaling pathway plays important roles in the progression of colon cancer. DACT1 has been identified as a modulator of Wnt signaling through…”
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The complete mitochondrial genomes of Parabotia kiangsiensis (Cypriniformes: Botiidae)
Published in Mitochondrial DNA. Part B. Resources (02-07-2020)“…Parabotia kiangsiensis is an endemic species of genus Parabotia in China. In this study, we sequenced the complete mito-genome of P. kiangsiensis. The genome…”
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A decomposition of Moran's I for clustering detection
Published in Computational statistics & data analysis (15-08-2007)“…The test statistics I h , I c , and I n are derived by decomposing the numerator of the Moran's I test for high-value clustering, low-value clustering, and…”
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Cluster Detection Based on Spatial Associations and Iterated Residuals in Generalized Linear Mixed Models
Published in Biometrics (01-06-2009)“…Spatial clustering is commonly modeled by a Bayesian method under the framework of generalized linear mixed effect models (GLMMs). Spatial clusters are…”
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Variables selection using L 0 penalty
Published in Computational statistics & data analysis (01-02-2024)Get full text
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Variables selection using L0 penalty
Published in Computational statistics & data analysis (01-02-2024)“…The determination of a tuning parameter by the generalized information criterion (GIC) is considered an important issue in variable selection. It is shown that…”
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Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals
Published in Journal of computational and graphical statistics (02-10-2023)“…Spatial generalized linear mixed effects models are popular in spatial or spatiotemporal data analysis when the responses are counts and the random effects are…”
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A Modification for Bayesian Credible Intervals
Published in Communications in statistics. Theory and methods (01-09-2006)“…In Bayesian analysis, people usually report the highest posterior density (HPD) credible interval as an interval estimate of an unknown parameter. However,…”
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Data analysis of 36 cases with intraductal papillary mucinous neoplasm of the pancreas for their clinicopathological features, diagnosis, and treatment
Published in Chinese medical journal (2014)“…Background Intraductal papillary mucinous neoplasm (IPMN) is a rare pancreatic cystic neoplasm,accounting for 1% of all exocrine pancreatic neoplasms.This…”
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14
Iteratively reweighted least squares with random effects for maximum likelihood in generalized linear mixed effects models
Published in Journal of statistical computation and simulation (02-11-2021)“…This article develops a new method called iteratively reweighted least squares with random effects (IRWLSR) for maximum likelihood in generalized linear mixed…”
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15
CP decomposition and weighted clique problem
Published in Statistics & probability letters (01-06-2020)“…The determination of the optimal subdecomposition based on CP decomposition for high-order tensors is not straightforward because the rank-one tensors are not…”
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Generalized k-means in GLMs with applications to the outbreak of COVID-19 in the United States
Published in Computational statistics & data analysis (01-07-2021)“…Generalized k-means can be combined with any similarity or dissimilarity measure for clustering. Using the well known likelihood ratio or F-statistic as the…”
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Spatial monitoring to reduce COVID-19 vaccine hesitance
Published in Journal of geographical systems (01-04-2024)“…Arthur Getis is a pioneer in spatial statistics. His collaboration with Keith Ord has inspired our long-standing collaboration between a geographer and a…”
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On Moran’s I coefficient under heterogeneity
Published in Computational statistics & data analysis (01-03-2016)“…Moran’s I is the most popular spatial test statistic, but its inability to incorporate heterogeneous populations has been long recognized. This article…”
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ON INDEPENDENCE AND SEPARABILITY BETWEEN POINTS AND MARKS OF MARKED POINT PROCESSES
Published in Statistica Sinica (01-01-2017)“…An important problem in statistical methods for marked point processes (MPPs) is to evaluate the relationship between points and marks, which can be developed…”
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Is Oddi sphincterotomy an indication for hepatolithiasis?
Published in Surgical endoscopy (01-10-2009)“…Background The purpose of treatment for hepatolithiasis is reducing recurrent cholangitis. This study was designed to determine the long-term outcome of Oddi…”
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