Author

Ali Daher

The University of Texas MD Anderson Cancer CenterORCID 0000-0002-2703-0491Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Raluca EftimieiD· 2 shared Dumitru TrucuiD· 1 shared Fareeha Afzal· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersBioinformatics

Raluca EftimieORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 29, 2026

A Robust Machine Learning Framework for Keloid Biomarker Discovery Beyond Differential Expression

Ali Daher, Fareeha Afzal, Raluca Eftimie

This paper identifies robust keloid biomarkers using machine learning on integrated transcriptomic data, revealing genes like FASN that differ from conventional differential expression analysis.

DOI 10.64898/2026.06.24.734231

humanbulk RNA-seq

Systems Biologynpj Systems Biology and ApplicationsPeer-reviewedFeb 19, 2026

A Computational Pipeline for Physiologically Informed Calibration of Ligand Reaction-Diffusion Models Using High-Throughput Sequencing

Ali Daher, Dumitru Trucu, Raluca Eftimie

The paper develops a computational pipeline to calibrate reaction-diffusion models of ligand signaling using transcriptomics data, applied to TGF{beta} isoforms in wound healing.

2 citations

humanscRNA-seq