Advances on RGCCA

A Variable Selection via Correlated Component PLS-type Regression

Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis

Structural Equation Modeling with Latent/Emergent Variables: RGCCAc

Enhanced visual analysis of aircraft engines based on spectrograms

A framework for multiblock component methods

Global Criteria for Sparse Penalized Partial Least Squares

Analyse Factorielle Discriminante Multi-voie

Shiny and Galaxy interactive software for multi-source data analysis

Regularized generalized canonical correlation analysis

Regularized Generalized Canonical Correlation Analysis

Graph-Constrained Discriminant Analysis of functional genomics data

Multiway Regularized Generalized Canonical Correlation Analysis

Régression Logistique Multivoie

Globally sparse PLS regression

Shrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data

Multiway Regularized Generalized Canonical Correlation Analysis

Recent advances on Regularized Generalized Canonical Correlation Analysis. Applications to deciphering the chronic effects of urban pollution exposure.

Consistent and asymptotically normal RGCCA estimators for linear structural equations with latent variables (RGCCAc)

A new criterion for sparse PLS

Functional regularized generalized canonical correlation analysis[

Age prediction using a supervised facial model

Analyse canonique généralisée régularisée et approche PLS

Gene Association Networks from Microarray Data Using a Regularized Estimation of Partial Correlation Based on the PLS Regression

The Intracellular Localization of ID2 Expression Has a Predictive Value in Non Small Cell Lung Cancer

Three-Way Generalized Structured Component Analysis

Variable Selection in Partial Least Squares Methods: overview and recent developments

Comparaison entre l'analyse canonique généralisée régularisée et l'algorithme PLS pour l'analyse des tableaux multiples

Analyse discriminante multivoie sparse.

RGCCA for Structural Equation Modeling with Latent and Emergent Variables

Functional generalized canonical correlation analysis for studying multiple longitudinal variables

Une variante des tests de sphéricité pour l'adéquation de données transcriptomiques à un graphe de régulations génétiques

Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography

Hepatocellular carcinoma: CT texture analysis as a predictor of survival after surgical resection

Grouping levels of exposure with same observable effects before class prediction in toxicogenomics.

Kernel logistic PLS: a new tool for complex classification

A low variance consistent test of relative dependency

Multiblock Logistic Regression for High Dimensional Data

Modèle de durée pour données multivoie

Schéma parallélisé-randomisé de la décomposition canonique polyadique pour la localisation de sources de courant intracérébral

Compressed sensing subtracted rotational angiography with multiple sparse penalty

Structured variable selection for generalized canonical correlation analysis

Over-optimism in bioinformatics: an illustration

Changes of the human skin microbiota upon chronic exposure to polycyclic aromatic hydrocarbon pollutants

Multiphase Liver MRI for Identifying the Macrotrabecular-Massive Subtype of Hepatocellular Carcinoma

Kernel Generalized Canonical Correlation Analysis

Sparsity constraints and dedicated acquisition protocols for improved Digital Subtraction Rotational Angiography

Structured variable selection for generalized canonical correlation analysis

Dimension reduction and regularisation combined with Partial Least Squares in high dimensional imaging-genetics studies

Analyse différentielle de puces à ADN. Comparaison entre méthodes wrapper et filter.