Large-scale multivariate sparse regression with applications to UK Biobank

Polygenic risk modeling with latent trait-related genetic components

(2021) Matthew Aguirre et al.   EUROPEAN JOURNAL OF HUMAN GENETICS

MetaPhat: Detecting and Decomposing Multivariate Associations From Univariate Genome-Wide Association Statistics

(2020) Jake Lin et al.   Frontiers in Genetics

Brain Imaging Genomics: Integrated Analysis and Machine Learning

(2019) Li Shen et al.   PROCEEDINGS OF THE IEEE

Leveraging mixed and incomplete outcomes via reduced-rank modeling

(2018) Chongliang Luo et al.   JOURNAL OF MULTIVARIATE ANALYSIS

A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis

(2018) Xiaofeng Zhu et al.   NEUROINFORMATICS

Integrative Multi-View Regression: Bridging Group-Sparse and Low-Rank Models

(2018) Gen Li et al.   BIOMETRICS

Second-generation PLINK: rising to the challenge of larger and richer datasets

(2015) Christopher C Chang et al.   GigaScience

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Fast Identification of Biological Pathways Associated with a Quantitative Trait Using Group Lasso with Overlaps

(2014) Matt Silver et al.   Statistical Applications in Genetics and Molecular Biology

Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection

(2012) Lisha Chen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression

(2012) Matt Silver et al.   NEUROIMAGE

Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling

(2011) J. C. Duchi et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Strong rules for discarding predictors in lasso-type problems

(2011) Robert Tibshirani et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease

(2011) Maria Vounou et al.   NEUROIMAGE

Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer

(2010) Jie Peng et al.   Annals of Applied Statistics

Support union recovery in high-dimensional multivariate regression

(2010) Guillaume Obozinski et al.   ANNALS OF STATISTICS

Sparse partial least squares regression for simultaneous dimension reduction and variable selection

(2010) Hyonho Chun et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach

(2010) Maria Vounou et al.   NEUROIMAGE

Simultaneous analysis of Lasso and Dantzig selector

(2009) Peter J. Bickel et al.   ANNALS OF STATISTICS

Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)

(2009) Martin J. Wainwright   IEEE TRANSACTIONS ON INFORMATION THEORY

MapReduce

(2008) Jeffrey Dean et al.   COMMUNICATIONS OF THE ACM