Pathway aggregation for survival prediction via multiple kernel learning

Kernel machine score test for pathway analysis in the presence of semi-competing risks

(2016) Matey Neykov et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

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

(2013) José A. Seoane et al.   BIOINFORMATICS

Omnibus Risk Assessment via Accelerated Failure Time Kernel Machine Modeling

(2013) Jennifer A. Sinnott et al.   BIOMETRICS

Doubly regularized Cox regression for high-dimensional survival data with group structures

(2013) Sijian Wang et al.   Statistics and Its Interface

curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome

(2013) Benjamin Frederick Ganzfried et al.   Database-The Journal of Biological Databases and Curation

Automatic Feature Selection via Weighted Kernels and Regularization

(2012) Genevera I. Allen   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Pathway index models for construction of patient-specific risk profiles

(2012) Kevin H. Eng et al.   STATISTICS IN MEDICINE

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

(2011) Tianxi Cai et al.   BIOMETRICS

Kernel based methods for accelerated failure time model with ultra-high dimensional data

(2011) Zhenqiu Liu et al.   BMC BIOINFORMATICS

Gene expression profiling in breast cancer: classification, prognostication, and prediction

(2011) Jorge S Reis-Filho et al.   LANCET

Integrated genomic analyses of ovarian carcinoma

(2011) D. Bell et al.   NATURE

Sparsity in multiple kernel learning

(2010) Vladimir Koltchinskii et al.   ANNALS OF STATISTICS

The group lasso for logistic regression

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

On the adaptive elastic-net with a diverging number of parameters

(2009) Hui Zou et al.   ANNALS OF STATISTICS

Hierarchically penalized Cox regression with grouped variables

(2009) S. Wang et al.   BIOMETRIKA

Decomposing the tensor kernel support vector machine for neuroscience data with structured labels

(2009) David R. Hardoon et al.   MACHINE LEARNING

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

A note on adaptive group lasso

(2008) Hansheng Wang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

(2008) Roger McLendon et al.   NATURE

Core Signaling Pathways in Human Pancreatic Cancers Revealed by Global Genomic Analyses

(2008) S. Jones et al.   SCIENCE

On the asymptotic properties of the group lasso estimator for linear models

(2008) Yuval Nardi et al.   Electronic Journal of Statistics