Association screening of common and rare genetic variants by penalized regression

Cited by (137)

Items 101–137 of 137

1. SPARSE REGULARIZATION FOR BI-LEVEL VARIABLE SELECTION
   Hidetoshi Matsui · 2015 · Journal of the Japanese Society of Computational Statistics
2. Longitudinal data analysis for rare variants detection with penalized quadratic inference function
   Hongyan Cao, Zhi Li, Haitao Yang, Yuehua Cui, Yanbo Zhang · 2017 · Scientific Reports
3. A Penalized Regression Approach for Integrative Analysis in Gen ome- Wide Association Studies
   Fan Wang · 2015 · Journal of Biometrics & Biostatistics
4. Multimodal modeling for personalized psychiatry
   Scott Richard Clark, Micah Cearns, Klaus Oliver Schubert, Bernhard Theodor Baune · 2019 · Elsevier eBooks
5. Linear Convergence of Prox-SVRG Method for Separable Non-smooth Convex Optimization Problems under Bounded Metric Subregularity
   Jin Zhang, Xide Zhu · 2022 · Journal of Optimization Theory and Applications
6. Survival Analysis with High-Dimensional Omics Data Using a Threshold Gradient Descent Regularization-Based Neural Network Approach
   Yu Fan, Sanguo Zhang, Shuangge Ma · 2022 · Genes
7. Nonparametric group variable selection with multivariate response for connectome-based modelling of cognitive scores
   Arkaprava Roy · 2023 · Journal of the Royal Statistical Society Series C (Applied Statistics)
8. Genetic Variant Selection: Learning Across Traits and Sites
   Laurel Stell, Chiara Sabatti · 2015 · Genetics
9. VCSEL: Prioritizing SNP-set by penalized variance component selection
   Juhyun Kim, Judong Shen, Anran Wang, Devan V. Mehrotra, Seyoon Ko, Jin J. Zhou, Hua Zhou · 2021 · The Annals of Applied Statistics
10. Smoothing Proximal Gradient Block-coordinate Algorithms for Group Sparse $$\ell _0$$ Regularized Nonsmooth Convex Regression Problem
    Xue Li, Wei Bian · 2026 · Journal of Optimization Theory and Applications
11. Analysis of Genetic Analysis Workshop 18 data with gene-based penalized regression
    Kristin L. Ayers, Heather Jane Cordell · 2014 · BMC Proceedings
12. Integrating Multiple Datasets to Discover Stage-Specific Cancer Related Genes and Stage-Specific Pathways
    Bolin Chen, Chaima Aouiche, Xuequn Shang · 2019 · Lecture notes in computer science
13. A pyroptosis-related gene signature that predicts immune infiltration and prognosis in colon cancer
    Mingjian Wu, Shuai Hao, Xiaoxiang Wang · 2023 · Frontiers in Oncology
14. Weighted Selection Probability to Prioritize Susceptible Rare Variants in Multi-Phenotype Association Studies with Application to a Soybean Genetic Data Set
    Xianglong Liang, Hokeun Sun · 2023 · Journal of Computational Biology
15. Significance Thresholds for Rare Variant Signals
    Celia M.T. Greenwood, Changjiang Xu, Antonio Ciampi · 2015 · Springer eBooks
16. Logistic Regression in Genomewide Association Analysis
    Wentian Li, Yaning Yang · 2013
17. Correction: Multiple Regression Methods Show Great Potential for Rare Variant Association Tests
    Changjiang Xu, Martin Ladouceur, Zari Dastani, John Brent Richards, Antonio Ciampi, Celia M.T. Greenwood · 2013 · PLoS ONE
18. An Interactive Greedy Approach to Group Sparsity in High Dimension
    Wei Qian, Wending Li, Yasuhiro Sogawa · 2017 · arXiv (Cornell University)
19. Exome Sequencing in Gastrointestinal Food Allergy Induced by Multiple Food Protein
    Alba Sanchis Juan · 2019 · RiuNet (Universitat Politècnica de València)
20. New penalized regression approaches to analysis of genetic and genomic data.
    Sun Kyung Kim · 2012 · University of Minnesota Digital Conservancy (University of Minnesota)
21. High-Dimensional Variable Selection for Multivariate and Survival Data with Applications to Brain Imaging and Genetic Association Studies.
    Yanming Li · 2014 · Deep Blue (University of Michigan)
22. Graph structure inference for high-throughput genomic data
    Hui Zhou · 2014
23. Penalized regression methods in genetic research
    Himel Mallick, Miao Li · 2013 · OA Genetics
24. Quantitative methods for evaluating association between multiple rare genetic variants and complex human traits
    Andrea Byrnes · 2019 · Carolina Digital Repository (University of North Carolina at Chapel Hill)
25. New Approaches to Identify Gene-by-Gene Interactions in Genome Wide Association Studies
    Chen Lu · 2016 · arXiv (Cornell University)
26. The statistical analysis of genetic sequencing and rare variant association studies
    Eugene Urrutia · 2019 · Carolina Digital Repository (University of North Carolina at Chapel Hill)
27. Statistical Methods for Large-scale Multiple Testing Problems
    Yu Gao · 2019 · UWSpace (University of Waterloo)
28. Selection probability of multivariate regularization to identify pleiotropic variants in genetic association studies
    Kipoong Kim, Hokeun Sun · 2020 · Communications for Statistical Applications and Methods
29. Nonparametric Group Variable Selectionwith Multivariate Response forConnectome-Based Prediction of Cognitive Scores
    Arkaprava Roy · 2021 · arXiv (Cornell University)
30. Incorporating Biological Information into Association Studies of Sequencing Data
    2012 · Genetic Epidemiology
31. System analysis based on the necroptosis-related genes in heart failure
    Yiya Kong, Ying Guo, Tao Xu, Jihong Zhou, Fang Wang · 2023 · Research Square
32. Iterative sequential screening strategies for sparse recovery with computational advantages
    Weixiong Liang, Yuehan Yang · 2025 · Journal of Multivariate Analysis
33. Additional file 1 of New statistical selection method for pleiotropic variants associated with both quantitative and qualitative traits
    Kipoong Kim, Jun, Tae-Hwan, Ha, Bo-Keun, Wang, Shuang, Hokeun Sun · 2023 · Figshare
34. Additional file 2 of New statistical selection method for pleiotropic variants associated with both quantitative and qualitative traits
    Kipoong Kim, Jun, Tae-Hwan, Ha, Bo-Keun · 2024 · Figshare
35. Hidden Block Regression: A General Framework for Multi-Response Models with Group Structures and Hidden Variables
    Weixiong Liang, Yuehan Yang · 2026 · Journal of Computational and Graphical Statistics
36. Systematic Study of OX40 Ligand Context-Dependent Function on Human T Helper Cell Polarization
    Léa Karpf · 2020 · theses.fr (ABES)
37. General Inertial Smoothing Bregman Proximal Gradient Algorithms for Group Capped-$$\ell _1$$ Regularized Minimization
    J M Zhang, Xinmin Yang · 2026 · Journal of Optimization Theory and Applications