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Evaluating the Interpretability of SNP Effect Size Classes in Bayesian Genomic Prediction Models

Fanny Mollandin , Andrea Rau , Pascal Croiseau
49th European Mathematical Genetics Meeting (EMGM), Apr 2021, Paris, France. pp.69-100, ⟨10.1159/000516194⟩
Communication dans un congrès hal-03744745v1

Leveraging multi-omic data for integrative exploratory and predictive analyses

Andrea Rau , Fanny Mollandin , Florence Jaffrezic , Denis Laloë , Hallgeir Rui , et al.
Journées Math Bio Santé du GDR MATHSAV, Oct 2022, Besançon, France
Communication dans un congrès hal-04173247v1
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Capitalizing on complex annotations in Bayesian genomic prediction for a backcross population of growing pigs

Fanny Mollandin , Hélène Gilbert , Pascal Croiseau , Andrea Rau
12th World Congress on Genetics Applied to Livestock Production, Jul 2022, Rotterdam, Netherlands
Communication dans un congrès hal-03742045v1

An evaluation of the predictive performance and mapping power of the BayesR model for genomic prediction

Fanny Mollandin , Andrea Rau , Pascal Croiseau
Article dans une revue hal-03485736v1
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Incorporating biological information into genomic prediction models

Andrea Rau , Fanny Mollandin , Pascal Croiseau
VistaMilk Artificial Intelligence in Agriculture Masterclass, Feb 2023, Online, Ireland
Communication dans un congrès hal-04173250v1

BayesRCO

Andrea Rau , Pascal Croiseau , Fanny Mollandin
2022
Logiciel hal-04173211v1

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

Fanny Mollandin , Pascal Croiseau , Andrea Rau
Working Group on Model-Based Clustering Summer Session, Jul 2022, Online, France.
Poster de conférence hal-04173246v1
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Accounting for overlapping annotations in genomic prediction models of complex traits

Fanny Mollandin , Hélène Gilbert , Pascal Croiseau , Andrea Rau
BMC Bioinformatics, 2022, 23 (1), 22 p. ⟨10.1186/s12859-022-04914-5⟩
Article dans une revue hal-03770583v1