A hierarchical Bayesian mixture model for predicting phenotypes from genomic data with prior biological information - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Poster Year : 2022

A hierarchical Bayesian mixture model for predicting phenotypes from genomic data with prior biological information

Fanny Mollandin
Génétique Animale et Biologie Intégrative
Pascal Croiseau
Génétique Animale et Biologie Intégrative
CV
Andrea Rau
Génétique Animale et Biologie Intégrative

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Life Sciences [q-bio]

Andrea Rau  : Connect in order to contact the contributor

https://hal.inrae.fr/hal-04173246

Submitted on : Friday, July 28, 2023-4:21:21 PM

Last modification on : Wednesday, February 28, 2024-2:43:51 PM

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hal-04173246 , version 1 (28-07-2023)

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  • HAL Id : hal-04173246 , version 1

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Fanny Mollandin, Pascal Croiseau, Andrea Rau. A hierarchical Bayesian mixture model for predicting phenotypes from genomic data with prior biological information. Working Group on Model-Based Clustering Summer Session, Jul 2022, Online, France. . ⟨hal-04173246⟩

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AGROPARISTECH INRA UNIV-PARIS-SACLAY INRAE GENETIQUE_ANIMALE GS-BIOSPHERA GS-LIFE-SCIENCES-HEALTH GABI SAPS
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