Author

Abdou Rahmane Wade

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementORCID 0000-0001-9816-4078Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Anthony KleiniD· 1 shared Aude Carlier-Lézie· 1 shared Catherine Kraut· 1 shared Gaëtan TouzyiD· 1 shared Grégoire AubertiD· 1 shared Guillaume Roullet· 1 shared Harold DurufléiD· 1 shared Jean-François Herbommez· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenetics

Anthony KleinORCID

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2 papers

Recent·Most cited

GeneticsThe Plant Phenome JournalPeer-reviewedMar 31, 2026

Combining phenomic and genomic selection for pea breeding improvement

Anthony Klein, Virgilio Freitas, Abdou Rahmane Wade…·Gaëtan Touzy

This study evaluates phenomic and genomic selection for pea yield traits, finding that integrating spectral and molecular data improves prediction accuracy for complex traits.

1 citation

statistical modelbenchmarking

𝕏 PostBluesky

GeneticsbioRxivPreprintSep 7, 2021

eQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction

Abdou Rahmane Wade, Harold Duruflé, Leopoldo Sánchez, Vincent Segura

The paper integrates genomic and transcriptomic data to predict phenotypes in poplar, finding that eQTLs influence predictability and that beneficial integration reduces predictor redundancy.

1 citation

plant (other)bulk RNA-seq

𝕏 PostBluesky