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Clustering on hierarchical heterogeneous data with prior pairwise relationships

BMC bioinformatics, 2024-01, Vol.25 (1), p.40-40, Article 40

2024

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Gene expression prediction based on neighbour connection neural network utilizing gene interaction graphs

PloS one, 2023-02, Vol.18 (2), p.e0281286-e0281286

2023

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Prediction Consistency Regularization for Learning with Noise Labels Based on Contrastive Clustering

Entropy (Basel, Switzerland), 2024-04, Vol.26 (4), p.308

2024

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Histopathological imaging features- versus molecular measurements-based cancer prognosis modeling

Scientific reports, 2020-09, Vol.10 (1), p.15030-15030, Article 15030

2020

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Empirical Likelihood Test for Regression Coefficients in High Dimensional Partially Linear Models

Journal of systems science and complexity, 2021-06, Vol.34 (3), p.1135-1155

2021

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Matrix regression heterogeneity analysis

Statistics and computing, 2024-06, Vol.34 (3), Article 95

2024

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Survival Analysis with High-Dimensional Omics Data Using a Threshold Gradient Descent Regularization-Based Neural Network Approach

Genes, 2022-09, Vol.13 (9), p.1674

2022

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Robust high-dimensional regression for data with anomalous responses

Annals of the Institute of Statistical Mathematics, 2021-08, Vol.73 (4), p.703-736

2021

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Persistent Expression of VCAM1 in Radial Glial Cells Is Required for the Embryonic Origin of Postnatal Neural Stem Cells

Neuron (Cambridge, Mass.), 2017-07, Vol.95 (2), p.309-325.e6

2017

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Machine learning-based prediction for grassland degradation using geographic, meteorological, plant and microbial data

Ecological indicators, 2022-04, Vol.137, p.108738, Article 108738

2022

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Two-phase SSU and SKAT in genetic association studies

Journal of genetics, 2020-12, Vol.99 (1), Article 9

2020

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Detecting Difference Between Coefficients in Linear Model Using Jackknife Empirical Likelihood

Journal of systems science and complexity, 2016-04, Vol.29 (2), p.542-556

2016

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A Model-Embedded Trend Test with Incorporating Hardy-Weinberg Equilibrium Information

Journal of systems science and complexity, 2017-02, Vol.30 (1), p.101-110

2017

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Consistent estimation of the number of communities via regularized network embedding

Biometrics, 2023-09, Vol.79 (3), p.2404-2416

2023

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A likelihood ratio test of population Hardy-Weinberg equilibrium for case-control studies

Genetic epidemiology, 2009-04, Vol.33 (3), p.275-280

2009

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Estimates of HIV prevalence in a highly endemic area of China: Dehong Prefecture, Yunnan Province

International journal of epidemiology, 2008-12, Vol.37 (6), p.1287-1296

2008

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Gaussian graphical model‐based heterogeneity analysis via penalized fusion

Biometrics, 2022-06, Vol.78 (2), p.524-535

2022

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Information-incorporated sparse hierarchical cancer heterogeneity analysis

Statistics in medicine, 2024-05, Vol.43 (11), p.2280-2297

2024

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HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis

Bioinformatics (Oxford, England), 2021-09, Vol.37 (18), p.3073-3074

2021

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Aligned deep neural network for integrative analysis with high-dimensional input

Journal of biomedical informatics, 2023-08, Vol.144, p.104434-104434, Article 104434

2023

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The cluster D-trace loss for differential network analysis

Journal of applied statistics, 2024-07, Vol.51 (10), p.1843-1860

2024

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Promoting Similarity of Sparsity Structures in Integrative Analysis With Penalization

Journal of the American Statistical Association, 2017-01, Vol.112 (517), p.342-350

2017

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Truncated tests for combining evidence of summary statistics

Genetic epidemiology, 2020-10, Vol.44 (7), p.687-701

2020

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A Web Semantic-Based Text Analysis Approach for Enhancing Named Entity Recognition Using PU-Learning and Negative Sampling

International journal on semantic web and information systems, 2024-01, Vol.20 (1), p.1-23

2024

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Asymptotic Properties of Quasi-Maximum Likelihood Estimates in Generalized Linear Models

Communications in statistics. Theory and methods, 2011-12, Vol.40 (24), p.4417-4430

2011

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Clustering on hierarchical heterogeneous data with prior pairwise relationships

Gene expression prediction based on neighbour connection neural network utilizing gene interaction graphs

Prediction Consistency Regularization for Learning with Noise Labels Based on Contrastive Clustering

Histopathological imaging features- versus molecular measurements-based cancer prognosis modeling

Empirical Likelihood Test for Regression Coefficients in High Dimensional Partially Linear Models

Matrix regression heterogeneity analysis

Survival Analysis with High-Dimensional Omics Data Using a Threshold Gradient Descent Regularization-Based Neural Network Approach

Robust high-dimensional regression for data with anomalous responses

Persistent Expression of VCAM1 in Radial Glial Cells Is Required for the Embryonic Origin of Postnatal Neural Stem Cells

Machine learning-based prediction for grassland degradation using geographic, meteorological, plant and microbial data

Two-phase SSU and SKAT in genetic association studies

Detecting Difference Between Coefficients in Linear Model Using Jackknife Empirical Likelihood

A Model-Embedded Trend Test with Incorporating Hardy-Weinberg Equilibrium Information

Consistent estimation of the number of communities via regularized network embedding

A likelihood ratio test of population Hardy-Weinberg equilibrium for case-control studies

Estimates of HIV prevalence in a highly endemic area of China: Dehong Prefecture, Yunnan Province

Gaussian graphical model‐based heterogeneity analysis via penalized fusion

Information-incorporated sparse hierarchical cancer heterogeneity analysis

HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis

Aligned deep neural network for integrative analysis with high-dimensional input

The cluster D-trace loss for differential network analysis

Promoting Similarity of Sparsity Structures in Integrative Analysis With Penalization

Truncated tests for combining evidence of summary statistics

A Web Semantic-Based Text Analysis Approach for Enhancing Named Entity Recognition Using PU-Learning and Negative Sampling

Asymptotic Properties of Quasi-Maximum Likelihood Estimates in Generalized Linear Models

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