Author

Diana Charles El Assal

New York University Abu DhabiORCID 0000-0003-1124-5153Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:metabolomics· 1

Frequent Co-Authors

Ashish Kumar JaiswaliD· 2 shared Kourosh Salehi‐AshtianiiD· 2 shared Agnieszka B. WegrzyniD· 1 shared Alexandra MystikouiD· 1 shared Alissa Schurink· 1 shared Amy C. HarmsiD· 1 shared Bastian HengereriD· 1 shared Ben CousinsiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersSystems Biology

Ashish Kumar JaiswalORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintApr 20, 2026

Conserved metabolic vulnerabilities across pathogenic coronaviruses nominate host-directed therapeutic targets

Bushra Dohai, Diana Charles El Assal, Mina Kang…·Kourosh Salehi‐Ashtiani

The paper identifies conserved metabolic vulnerabilities across SARS-CoV, SARS-CoV-2, and MERS-CoV using transcriptomic data and metabolic models, revealing druggable host targets.

DOI 10.64898/2026.04.17.716662

humanbulk RNA-seq

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GenomicsbioRxivPreprintDec 30, 2025

Earth-Observation and Environmental Vision Transformers Reveal Genome-Environment Associations in Macroalgae

Alexandra Mystikou, David Roy Nelson, Diana Charles El Assal…·Kourosh Salehi‐Ashtiani

The paper identifies genome-environment associations in macroalgae by integrating remote sensing data with deep learning to uncover genomic signatures of ecological adaptation.

DOI 10.64898/2025.12.30.696986

deep learninggene regulatory network inference

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Systems BiologybioRxivPreprintJun 30, 2021

Mechanistic model-driven exometabolomic characterisation of human dopaminergic neuronal metabolism

German Preciat, Agnieszka B. Wegrzyn, Edinson Lucumi Moreno…·Ronan M. T. Fleming

The paper develops genome-scale metabolic models of human dopaminergic neurons to study metabolic dysfunction in Parkinson's disease using exometabolomic and transcriptomic data.

11 citations

humanmetabolomics

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