Author

Hussin El Rashidy

Center for Regenerative Therapies DresdenORCID 0009-0009-1762-2037Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Ali SaadatiD· 1 shared Federico CalegariiD· 1 shared Gustav Kühn· 1 shared Jacques FellayiD· 1 shared Shonali DhingraiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Ali SaadatORCID

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2 papers

Recent·Most cited

NeuroscienceeNeuroPeer-reviewedMar 1, 2026

Aperiodicity in mouse CA1 and DG power spectra

Gustav Kühn, Hussin El Rashidy, Federico Calegari, Shonali Dhingra

The paper improves the FOOOF toolbox to better analyze aperiodic components in mouse hippocampal sub-regions, finding significant differences between CA1 and DG.

1 citation

mouseelectronic health records

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BioinformaticsbioRxivPreprintNov 19, 2025

Zygosity-Aware DNA Language Modeling Improves Ancestry and Gene Expression Prediction

Hussin El Rashidy, Ali Saadat, Jacques Fellay

This paper evaluates zygosity-aware DNA language models for ancestry and gene expression prediction, showing improved performance with diploid representations.

DOI 10.1101/2025.11.19.689326

humanwhole-genome sequencing

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