Author

Honoré Tekeu

Institut de Recherche et de Développement en AgroenvironnementORCID 0000-0003-1192-7429Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Eddy Leonard Mangaptche Ngonkeu· 1 shared Francois J. BelzileiD· 1 shared Martine JeaniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperGenomics

Eddy Leonard Mangaptche Ngonkeu

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintNov 3, 2023

Machine Learning-GWAS reveals the role of WSD1 gene for cuticular wax ester biosynthesis and key genomic regions controlling early maturity in bread wheat

Honoré Tekeu, Martine Jean, Eddy Leonard Mangaptche Ngonkeu, Francois J. Belzile

This study uses ML-GWAS to identify genomic regions linked to cuticular wax ester biosynthesis and early maturity in wheat, finding significant associations and candidate genes.

5 citations

GWAS summary statisticsmachine learning (classical)