8 citations · 9 across the 11 of their papers we have counts for
11 papers
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model
Yvelin Gansou, Karim Oualkacha, Marzia Angela Cremona +1
Understanding how genetic and epigenetic factors jointly influence binary health outcomes remains a major challenge in biomedical research. We propose a global test for the overall…
A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs
Yvelin Gansou, Karim Oualkacha, Marzia Angela Cremona +1
We introduce a test for the overall effect of interaction between DNA methylation and a set of single nucleotide polymorphisms (SNPs) on a quantitative phenotype. The developed inf…
Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
Julien St-Pierre, Sahir Rai Bhatnagar, Massimiliano Orri +3
This work is motivated by analyses of longitudinal data collected from participants in the Quebec Longitudinal Study of Child Development (QLSCD) and the Quebec Newborn Twin Study…
Hierarchical selection of genetic and gene by environment interaction effects in high-dimensional mixed models
Julien St-Pierre, Karim Oualkacha
Interactions between genes and environmental factors may play a key role in the etiology of many common disorders. Several regularized generalized linear models (GLMs) have been pr…
High-Dimensional Penalized Bernstein Support Vector Machines
Rachid Kharoubi, Abdallah Mkhadri, Karim Oualkacha
The support vector machines (SVM) is a powerful classifier used for binary classification to improve the prediction accuracy. However, the non-differentiability of the SVM hinge lo…
Efficient Penalized Generalized Linear Mixed Models for Variable Selection and Genetic Risk Prediction in High-Dimensional Data
Julien St-Pierre, Karim Oualkacha, Sahir Rai Bhatnagar
Sparse regularized regression methods are now widely used in genome-wide association studies (GWAS) to address the multiple testing burden that limits discovery of potentially impo…
A copula-based set-variant association test for bivariate continuous or mixed phenotypes
Julien St-Pierre, Karim Oualkacha
In genome wide association studies (GWAS), researchers are often dealing with non-normally distributed traits or a mixture of discrete-continuous traits. However, most of the curre…
Weighted asymmetric least squares regression with fixed-effects
Amadou Barry, Karim Oualkacha, Arthur Charpentier
The fixed-effects model estimates the regressor effects on the mean of the response, which is inadequate to summarize the variable relationships in the presence of heteroscedastici…
Detecting differentially methylated regions in bisulfite sequencing data using quasi-binomial mixed models with smooth covariate effect estimates
Kaiqiong Zhao, Karim Oualkacha, Lajmi Lakhal-Chaieb +6
Identifying disease-associated changes in DNA methylation can help to gain a better understanding of disease etiology. Bisulfite sequencing technology allows the generation of meth…
The Kendall Interaction Filter for Variable Interaction Screening in Ultra High Dimensional Classification Problems
Youssef Anzarmou, Abdallah Mkhadri, Karim Oualkacha
Accounting for important interaction effects can improve prediction of many statistical learning models. Identification of relevant interactions, however, is a challenging issue ow…
A new GEE method to account for heteroscedasticity, using asymmetric least-square regressions
Amadou Barry, Karim Oualkacha, Arthur Charpentier
Generalized estimating equations (GEE) are widely used to analyze longitudinal data; however, they are not appropriate for heteroscedastic data, because they only estimate regresso…