Author

Fatima Shokor

AgroParisTechORCID 0009-0007-5315-1530Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:genome assembly· 2 Research Focus:variant effect prediction· 2

Frequent Co-Authors

Beatriz C. D. CuyabanoiD· 3 shared Pascal CroiseauiD· 3 shared Hugo GangloffiD· 2 shared Tristan Mary‐HuardiD· 2 shared Alberto Martı́niD· 1 shared Didier BoichardiD· 1 shared Jérémie VandenplasiD· 1 shared Mariana Romeiro MottaiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Beatriz C. D. CuyabanoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 24, 2025

Deep Learning for genomic prediction accounting for heterosis in crossbreeding systems

Fatima Shokor, Pascal Croiseau, Hugo Gangloff…·Beatriz C. D. Cuyabano

This paper evaluates deep learning's ability to predict genetic values in crossbred populations by capturing heterosis, finding it improves performance when heterosis is present.

DOI 10.1101/2025.07.24.666530

deep learningstatistical model

𝕏 PostBluesky

GeneticsbioRxivPreprintMar 13, 2025

Trajectories of genetic correlations in populations under selection: from theory to a case-study

Beatriz C. D. Cuyabano, Mariana Romeiro Motta, Jérémie Vandenplas…·Sophie Mattalia

The paper investigates how multi-trait selection affects genetic correlations in populations, using theory and a case study on dairy cattle data.

DOI 10.1101/2025.03.13.643026

statistical model

𝕏 PostBluesky

GenomicsbioRxivPreprintMar 23, 2024

Deep Learning and GBLUP Integration: An Approach that Identifies Nonlinear Genetic Relationships Between Traits

Fatima Shokor, Pascal Croiseau, Hugo Gangloff…·Beatriz C. D. Cuyabano

This paper introduces a hybrid DLGBLUP model that integrates deep learning with GBLUP to improve prediction accuracy by capturing nonlinear genetic relationships between traits.

1 citation

deep learningstatistical model

𝕏 PostBluesky