Refining gene signatures: a Bayesian approach. - Amira Djebbari; Aurélie Labbe (BMC Bioinform., 2009)

Solving genetic heterogeneity in extended families by identifying sub-types of complex diseases. - Arafat Tayeb; Aurélie Labbe; Alexandre Bureau; Chantal Mérette (Comput. Stat., 2011)

iBMQ: a R/Bioconductor package for integrated Bayesian modeling of eQTL data. - Greg C. Imholte; Marie-Pier Scott-Boyer; Aurélie Labbe; Christian F. Deschepper; Raphael Gottardo (Bioinform., 2013)

funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types. - Kathleen Oros Klein; Stepan Grinek; Sasha Bernatsky; Luigi Bouchard; Antonio Ciampi; Ines Colmegna; Jean-Philippe Fortin; Long Gao; Marie-France Hivert; Marie Hudson; Michael S. Kobor; Aurélie Labbe; et al. (Bioinform., 2016)

VoxelStats: A MATLAB Package for Multi-Modal Voxel-Wise Brain Image Analysis. - Sulantha Mathotaarachchi; Seqian Wang; Monica Shin; Tharick A. Pascoal; Andréa L. Benedet; Min Su Kang; Thomas Beaudry; Vladimir S. Fonov; Serge Gauthier; Aurélie Labbe; Pedro Rosa-Neto (Frontiers Neuroinformatics, 2016)

Trajectories of cortical thickness maturation in normal brain development - The importance of quality control procedures. - Simon Ducharme; Matthew D. Albaugh; Tuong-Vi Nguyen; James J. Hudziak; José María Mateos-Pérez; Aurélie Labbe; Alan C. Evans; Sherif Karama (NeuroImage, 2016)

DM-PhyClus: a Bayesian phylogenetic algorithm for infectious disease transmission cluster inference. - Luc Villandré; Aurélie Labbe; Bluma Brenner; Michel Roger; David A. Stephens (BMC Bioinform., 2018)

Code Forking and Software Development Project Sustainability: Evidence from GitHub. - Bogdan Negoita; Gregory Vial; Maha Shaikh; Aurélie Labbe (ICIS, 2019)

MDiNE: a model to estimate differential co-occurrence networks in microbiome studies. - Kevin McGregor; Aurélie Labbe; Celia M. T. Greenwood (Bioinform., 2020)

KSPM: A Package For Kernel Semi-Parametric Models. - Catherine Schramm; Sébastien Jacquemont; Karim Oualkacha; Aurélie Labbe; Celia M. T. Greenwood (R J., 2020)

Inductive Graph Neural Networks for Spatiotemporal Kriging. - Yuankai Wu; Dingyi Zhuang; Aurélie Labbe; Lijun Sun 001 (AAAI, 2021)

Conditional canonical correlation estimation based on covariates with random forests. - Cansu Alakus; Denis Larocque; Sébastien Jacquemont; Fanny Barlaam; Charles-Olivier Martin; Kristian Agbogba; Sarah Lippé; Aurélie Labbe (Bioinform., 2021)

Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression. - Mengying Lei; Aurélie Labbe; Lijun Sun 001 (CoRR, 2021)

Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. - Yuankai Wu; Dingyi Zhuang; Mengying Lei; Aurélie Labbe; Lijun Sun 001 (CoRR, 2021)

Maturational trajectories of pericortical contrast in typical brain development. - Stefan Drakulich; Anne-Charlotte Thiffault; Emily R. Olafson; Olivier Parent; Aurélie Labbe; Matthew D. Albaugh; Budhachandra S. Khundrakpam; Simon Ducharme; Alan C. Evans; M. Mallar Chakravarty; Sherif Karama (NeuroImage, 2021)

Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data. - Mengying Lei; Aurélie Labbe; Lijun Sun 001 (CoRR, 2022)

RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests. - Cansu Alakus; Denis Larocque; Aurélie Labbe (R J., 2022)

Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging. - Mengying Lei; Aurélie Labbe; Yuankai Wu; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Covariance regression with random forests. - Cansu Alakus; Denis Larocque; Aurélie Labbe (BMC Bioinform., 2023)