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Hierarchy of factors affecting behavioural signs used for oestrus detection of Holstein and Normande dairy cows in a seasonal calving system.

• Erwan Cutullic, Luc Delaby, David Causeur, Guillaume Michel, Catherine Disenhaus
• Animal reproduction science
• 2009

As oestrous expression of dairy cows has decreased over the last decades oestrus detection has become more difficult. The objective of this study is to identify the main factors that affect oestrus… (More)

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

• David Causeur, Chloé Friguet, Magali Houee-Bigot
• 2011

The R package FAMT (factor analysis for multiple testing) provides a powerful method for large-scale significance testing under dependence. It is especially designed to select differentially… (More)

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

• Chloé Friguet, David Causeur
• 2011

Pleiotropic effects of polymorphism of the gene diacylglycerol-O-transferase 1 (DGAT1) in the mammary gland tissue of dairy cows.

• Núria Mach, Yuna Blum, +4 authors Mari A. Smits
• Journal of dairy science
• 2012

Microarray analysis was used to identify genes whose expression in the mammary gland of Holstein-Friesian dairy cows was affected by the nonconservative Ala to Lys amino acid substitution at position… (More)

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

• Roman Hornung, Anne-Laure Boulesteix, David Causeur
• BMC Bioinformatics
• 2015

In the context of high-throughput molecular data analysis it is common that the observations included in a dataset form distinct groups; for example, measured at different times, under different… (More)

A factor-adjusted multiple testing procedure for ERP data analysis.

• David Causeur, Mei-Chen Chu, Shulan Hsieh, Ching-Fan Sheu
• Behavior research methods
• 2012

Event-related potentials (ERPs) are now widely collected in psychological research to determine the time courses of mental events. When event-related potentials from treatment conditions are… (More)

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

• Émeline Perthame, Chloé Friguet, David Causeur
• Statistics and Computing
• 2016

Handling dependence or not in feature selection is still an open question in supervised classification issues where the number of covariates exceeds the number of observations. Some recent papers… (More)

A factor model to analyze heterogeneity in gene expression

• Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigue, David Causeur
• BMC Bioinformatics
• 2010

Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene dependence structure. This leads… (More)

A transcriptome multi-tissue analysis identifies biological pathways and genes associated with variations in feed efficiency of growing pigs

• Florence Gondret, Annie Vincent, +5 authors Isabelle Louveau
• BMC Genomics
• 2017

Animal’s efficiency in converting feed into lean gain is a critical issue for the profitability of meat industries. This study aimed to describe shared and specific molecular responses in different… (More)

Molecular alterations induced by a high-fat high-fiber diet in porcine adipose tissues: variations according to the anatomical fat location

• Florence Gondret, Annie Vincent, +4 authors David Causeur
• BMC Genomics
• 2016

Changing the energy and nutrient source for growing animals may be an effective way of limiting adipose tissue expansion, a response which may depend on the genetic background of the animals. This… (More)

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