Author

Dilek Çökeli̇ler Serdaroğlu

Başkent UniversityORCID 0000-0001-8645-9047Unclaimed 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:benchmarking· 2 Approach:Bayesian inference· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Nura BrimoiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 30, 2026

Carrier-Limited Release Risk in Electrospun Nanofibers for Regenerative Endodontics: Constraint Discovery from 25 Formulations

Nura Brimo, Dilek Çökeli̇ler Serdaroğlu

The paper evaluates 25 electrospun PVP fiber formulations for regenerative endodontics, using machine learning to identify constraints and release risks, finding carrier-limited release and recommending further testing.

DOI 10.64898/2026.10.29.762783

machine learning (classical)benchmarking

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 28, 2026

Fixing the Measurement Model Before the Selection Heuristics: Optimiser Repairs for Living-Cell Self-Driving Laboratories

Nura Brimo, Dilek Çökeli̇ler Serdaroğlu

This paper compares measurement-aware models and selection-level repairs in Bayesian optimisation for living-cell experiments, finding that measurement-aware models reduce regret and improve coverage under data contamination.

DOI 10.64898/2026.10.27.762131

Bayesian inferencestatistical model

𝕏 PostBluesky