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

Project Information

ISULO

Grant agreement ID: 840383

DOI 10.3030/840383

Project closed

EC signature date 4 April 2019

Start date 1 March 2020

End date 3 August 2023

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 275 619,84

EU contribution € 275 619,84

Coordinated by

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

Publications

Conference proceedings (1)

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

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

Peer reviewed articles (2)

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

Author(s): Heuclin, B., Mortier, F., Trottier, C., and Denis, M
Published in: Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, Page(s) 24-50, ISSN 0035-9254
Publisher: 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.

Author(s): Daval, A., Pomiès, V., Le Squin, S., Denis, M., Riou, V., Breton, F., and Tisné, S
Published in: Molecular Breeding, 2021, ISSN 1380-3743
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11032-021-01246-9