Kernel methods for large-scale genomic data analysis

Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA

(2014) Q. Zhao et al.   BRIEFINGS IN BIOINFORMATICS

Ensemble learning prediction of protein–protein interactions using proteins functional annotations

(2014) Indrajit Saha et al.   Molecular BioSystems

A pathway-based data integration framework for prediction of disease progression

(2013) José A. Seoane et al.   BIOINFORMATICS

Multiple Genetic Variant Association Testing by Collapsing and Kernel Methods With Pedigree or Population Structured Data

(2013) Daniel J. Schaid et al.   GENETIC EPIDEMIOLOGY

A Kernel Regression Approach to Gene-Gene Interaction Detection for Case-Control Studies

(2013) Nicholas B. Larson et al.   GENETIC EPIDEMIOLOGY

Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor

(2013) Gustavo de los Campos et al.   PLoS Genetics

Biogeography of the ecosystems of the healthy human body

(2013) Yanjiao Zhou et al.   GENOME BIOLOGY

Inclusion of Gene-Gene and Gene-Environment Interactions Unlikely to Dramatically Improve Risk Prediction for Complex Diseases

(2012) Hugues Aschard et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Reproducing Kernel Hilbert Spaces for Penalized Regression: A Tutorial

(2012) Alvaro Nosedal-Sanchez et al.   AMERICAN STATISTICIAN

Gene-centric gene–gene interaction: A model-based kernel machine method

(2012) Shaoyu Li et al.   Annals of Applied Statistics

Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping

(2012) Seyoung Kim et al.   Annals of Applied Statistics

Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs

(2012) S. Lee et al.   BIOINFORMATICS

Optimal tests for rare variant effects in sequencing association studies

(2012) S. Lee et al.   BIOSTATISTICS

Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test

(2011) Michael C. Wu et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Kernel Machine Approach to Testing the Significance of Multiple Genetic Markers for Risk Prediction

(2011) Tianxi Cai et al.   BIOMETRICS

Predicting Genetic Values: A Kernel-Based Best Linear Unbiased Prediction With Genomic Data

(2011) Ulrike Ober et al.   GENETICS

Powerful SNP-Set Analysis for Case-Control Genome-wide Association Studies

(2010) Michael C. Wu et al.   AMERICAN JOURNAL OF HUMAN GENETICS

GCTA: A Tool for Genome-wide Complex Trait Analysis

(2010) Jian Yang et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Genomic Similarity and Kernel Methods II: Methods for Genomic Information

(2010) Daniel J. Schaid   HUMAN HEREDITY

Genomic Similarity and Kernel Methods I: Advancements by Building on Mathematical and Statistical Foundations

(2010) Daniel J. Schaid   HUMAN HEREDITY

Sparse additive models

(2009) Pradeep Ravikumar et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Statistical Estimation of Correlated Genome Associations to a Quantitative Trait Network

(2009) Seyoung Kim et al.   PLoS Genetics

From Disease Association to Risk Assessment: An Optimistic View from Genome-Wide Association Studies on Type 1 Diabetes

(2009) Zhi Wei et al.   PLoS Genetics

A Powerful and Flexible Multilocus Association Test for Quantitative Traits

(2008) Lydia Coulter Kwee et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Kernel methods in machine learning

(2008) Thomas Hofmann et al.   ANNALS OF STATISTICS

Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models

(2008) Dawei Liu et al.   BMC BIOINFORMATICS

Reproducing Kernel Hilbert Spaces Regression Methods for Genomic Assisted Prediction of Quantitative Traits

(2008) D. Gianola et al.   GENETICS