Innovative Statistical modelling for a better Understanding of Longitudinal multivariate responses in relation to Omic datasets

Información del proyecto

ISULO

Identificador del acuerdo de subvención: 840383

DOI 10.3030/840383

Proyecto cerrado

Fecha de la firma de la CE 4 Abril 2019

Fecha de inicio 1 Marzo 2020

Fecha de finalización 3 Agosto 2023

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total € 275 619,84

Aportación de la UE € 275 619,84

Coordinado por

CENTRE DE COOPERATION INTERNATIONALE EN RECHERCHE AGRONOMIQUE POUR LEDEVELOPPEMENT - C.I.R.A.D. EPIC
France

Publicaciones

Conference proceedings (1)

A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma

Autores: Marie Denis, Rency S. Verghese, Megan E. Barefoot, Mahlet G. Tadesse, Habtom W. Ressom
Publicado en: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Editor: IEEE
DOI: 10.1109/embc48229.2022.9871330

Peer reviewed articles (2)

Bayesian varying coefficient model with selection: An application to functional mapping

Autores: Heuclin, B., Mortier, F., Trottier, C., and Denis, M
Publicado en: Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, Página(s) 24-50, ISSN 0035-9254
Editor: Blackwell Publishing Inc.
DOI: 10.1111/rssc.12447

In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense.

Autores: Daval, A., Pomiès, V., Le Squin, S., Denis, M., Riou, V., Breton, F., and Tisné, S
Publicado en: Molecular Breeding, 2021, ISSN 1380-3743
Editor: Kluwer Academic Publishers
DOI: 10.1007/s11032-021-01246-9