Group sparse canonical correlation analysis for genomic data integration

Structure-constrained sparse canonical correlation analysis with an application to microbiome data analysis

(2012) J. Chen et al.   BIOSTATISTICS

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

(2012) Matt Silver et al.   NEUROIMAGE

HAPGEN2: simulation of multiple disease SNPs

(2011) Zhan Su et al.   BIOINFORMATICS

P53 in human melanoma fails to regulate target genes associated with apoptosis and the cell cycle and may contribute to proliferation

(2011) Kelly A Avery-Kiejda et al.   BMC CANCER

Comparison of penalty functions for sparse canonical correlation analysis

(2011) Prabhakar Chalise et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

EGFR in melanoma: clinical significance and potential therapeutic target

(2011) Barbara Boone et al.   JOURNAL OF CUTANEOUS PATHOLOGY

Integrating Multiple Types of Data for Signaling Research: Challenges and Opportunities

(2011) H. S. Wiley   Science Signaling

Integrative analysis of multiple cancer prognosis studies with gene expression measurements

(2011) Shuangge Ma et al.   STATISTICS IN MEDICINE

Integrating diverse genomic data using gene sets

(2011) Svitlana Tyekucheva et al.   GENOME BIOLOGY

Association screening of common and rare genetic variants by penalized regression

(2010) H. Zhou et al.   BIOINFORMATICS

Integrative analysis of gene expression and copy number alterations using canonical correlation analysis

(2010) Charlotte Soneson et al.   BMC BIOINFORMATICS

A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia

(2010) Jing Sui et al.   NEUROIMAGE

Correlating multiple SNPs and multiple disease phenotypes: penalized non-linear canonical correlation analysis

(2009) S. Waaijenborg et al.   BIOINFORMATICS

Genome-wide association analysis by lasso penalized logistic regression

(2009) Tong Tong Wu et al.   BIOINFORMATICS

A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis

(2009) D. M. Witten et al.   BIOSTATISTICS