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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
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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
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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
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BayesRCO
Andrea Rau
,
Pascal Croiseau
,
Fanny Mollandin
2022
Logiciel
hal-04173211v1
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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
Article dans une revue
hal-03770583v1
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