Separating common from distinctive variation

Multi-tissue Analysis of Co-expression Networks by Higher-Order Generalized Singular Value Decomposition Identifies Functionally Coherent Transcriptional Modules

(2014) Xiaolin Xiao et al.   PLoS Genetics

Global, local and unique decompositions in OnPLS for multiblock data analysis

(2013) Tommy Löfstedt et al.   ANALYTICA CHIMICA ACTA

Joint and individual variation explained (JIVE) for integrated analysis of multiple data types

(2013) Eric F. Lock et al.   Annals of Applied Statistics

Identifying common and distinctive processes underlying multiset data

(2013) K. Van Deun et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Deflation strategies for multi-block principal component analysis revisited

(2012) Sahar Hassani et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

DISCO-SCA and Properly Applied GSVD as Swinging Methods to Find Common and Distinctive Processes

(2012) Katrijn Van Deun et al.   PLoS One

Interpretation of analysis of variance models using principal component analysis to assess the effect of a maternal anticancer treatment on the mineralization of rat bones

(2011) I. Stanimirova et al.   ANALYTICA CHIMICA ACTA

A Higher-Order Generalized Singular Value Decomposition for Comparison of Global mRNA Expression from Multiple Organisms

(2011) Sri Priya Ponnapalli et al.   PLoS One

Correlating gene and protein expression data using Correlated Factor Analysis

(2009) Chuen Tan et al.   BMC BIOINFORMATICS

Matrix correlations for high-dimensional data: the modified RV-coefficient

(2008) A. K. Smilde et al.   BIOINFORMATICS