David Causeur

发表

Improving type II error rates of multiple testing procedures by use of auxiliary variables Application to microarray data

Maela Kloareg, David Causeur, 2007 .

An adaptive decorrelation procedure for signal detection

David Causeur, Florian Hébert, Mathieu Emily, 2021, Comput. Stat. Data Anal..

FADA: an R package for variable selection in supervised classiﬁcation of strongly dependent data

David Causeur, Chloé Friguet, Emeline Perthame, 2014 .

Inférence de réseaux de co-expression génique

David Causeur, Yuna Blum, Magalie Houee, 2012 .

Factor Analysis for Multiple Testing (FAMT): An R Package for Large-Scale Significance Testing under Dependence

Maela Kloareg, David Causeur, Chloé Friguet, 2011 .

Impact of Dependence on the Stability of Model Selection in Supervised Classification for High-Throughput Data

Maela Kloareg, David Causeur, Chloé Friguet, 2008 .

Stability of feature selection in classification issues for high-dimensional correlated data

David Causeur, Émeline Perthame, Chloé Friguet, 2015, Statistics and Computing.

ACCOUNTING FOR TIME DEPENDENCE IN LARGE-SCALE MULTIPLE TESTING OF EVENT-RELATED POTENTIAL DATA

David Causeur, Ching-Fan Sheu, Emeline Perthame, 2016 .

HMI ASPECTS OF THE USABILITY OF INTERNET SERVICES WITH AN IN-CAR TERMINAL ON A DRIVING SIMULATOR

David Causeur, C. Marin-Lamellet, J-F. Kamp, 2001 .

Feature selection stability in high-dimensional heterogeneous data.

David Causeur, 2011 .

A factor model to analyze heterogeneity in gene expression

David Causeur, Sandrine Lagarrigue, Yuna Blum, 2010, BMC Bioinformatics.

Genetic analysis of a complex trait using transcriptomic data: contribution of gene regulatory network modeling

David Causeur, Sandrine Lagarrigue, Chloé Friguet, 2012 .

Integrating biological knowledge in gene expression data analysis

David Causeur, Sébastien Lê, S. Lê, 2011 .

Signal identication in ERP data by decorrelated Higher

David Causeur, Ching-Fan Sheu, Emeline Perthame, 2016 .

Conditional Fdr estimation based on a factor analytic approach of multiple testing

David Causeur, Chloé Friguet, 2009 .

New calibration of the main method for classifying pig carcasses in France [Conference poster].

David Causeur, Yuna Blum, M. Monziols, 2014 .

Sparse factor model for co-expression networks with an application using prior biological knowledge

David Causeur, Magalie Houée-Bigot, Yuna Blum, 2016, Statistical applications in genetics and molecular biology.

Preserving relationships between variables with MIVQUE based imputation for missing survey data

David Causeur, David Haziza, Brigitte Gelein, 2014, J. Multivar. Anal..

Accounting for a factor structure in high-dimensional data to improve multiple testing procedures

David Causeur, Chloé Friguet, 2008 .

Double-sampling designs to reduce the non-discoveryrate. Application to microarray data

Maela Kloareg, David Causeur, 2009 .

Improving supervised classification for high dimensional data by adding external information. Application to microarray data

Maela Kloareg, David Causeur, 2008 .

The R package FANet: sparse factor analysis model for high dimensional gene co-expression networks

David Causeur, Sandrine Lagarrigue, Anne Blum, 2014 .

Selection stability for supervised classification of heterogeneous data.

David Causeur, 2011 .

Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment

David Causeur, Roman Hornung, Anne-Laure Boulesteix, 2016, BMC Bioinformatics.

Signal identification in ERP data by decorrelated Higher Criticism Thresholding

David Causeur, Ching-Fan Sheu, Emeline Perthame, 2016 .

Factor Analysis for Multiple Testing: an R-package to analyze a genome-scale dataset

Maela Kloareg, David Causeur, Chloé Friguet, 2009 .

Estimation of the proportion of true null hypotheses in high-dimensional data under dependence

David Causeur, Chloé Friguet, Chloé Friguet, 2011, Comput. Stat. Data Anal..

Factor Analysis for Multiple Testing (FAMT) : an R package for simultaneous tests under dependence in high-dimensional data

Maela Kloareg, David Causeur, Chloé Friguet, 2009 .

Improving cross‐study prediction through addon batch effect adjustment or addon normalization

David Causeur, Roman Hornung, Anne-Laure Boulesteix, 2016, Bioinform..

Multiple tests for high-throughput data assuming a factor modeling of dependence

David Causeur, Chloé Friguet, 2008 .

A 2-dimensional extension of the Bradley–Terry model for paired comparisons

David Causeur, François Husson, François Husson, 2005 .

A two-way analysis of variance model with positive definite interaction for homologous factors

David Causeur, Thierry Dhorne, Arlette Antoni, 2005 .