Domaine de recherche
Dr. Aida Eslami is an assistant professor in Biostatistics at the Université Laval. Her research focuses on developing statistical methods to analyze multivariate data as found, for example, in genomics. She is intersected in multivariate data analysis approaches with an emphasis on principal component analysis, partial least squares regression, multi-block, and multi-group methods.
Publications
2- Asai Y, Martino D, Eiwegger T, Nadeau K, Koppelman GH, Clarke AE, Lee YA, Chan ES, Simons E, Laprise C, Mazer B, Marenholz I, Royce D, Elliott SJ, Hampson C, Gerdts J, Eslami A, Soller L, Hui J, Azad M, Sandford A, Daley D. Phenotype consensus is required to enable large-scale genetic consortium studies of food allergy.. Allergy 2020; 75(9):2383-2387.
- Valette K, Li Z, Bon-Baret V, Chignon A, Bérubé JC, Eslami A, Lamothe J, Gaudreault N, Joubert P, Obeidat M, van den Berge M, Timens W, Sin DD, Nickle DC, Hao K, Labbé C, Godbout K, Côté A, Laviolette M, Boulet LP, Mathieu P, Thériault S, Bossé Y. Prioritization of candidate causal genes for asthma in susceptibility loci derived from UK Biobank.. Commun Biol 2021; 4(1):700.
