Author

Maria Raitses‐Gurevich

Sheba Medical CenterORCID 0000-0002-5763-224XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Hadas VolkoviD· 2 shared Meitar GradiD· 2 shared Noam ShomroniD· 2 shared Rani Shlayem· 2 shared Tami RubinekiD· 2 shared Artem DanilevskyiD· 1 shared Dev Leibowitz· 1 shared Malka GorfineiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 32 mutual co-author links

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2 shared papersBioinformatics

Hadas VolkovORCID

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2 papers

Recent·Most cited

BioinformaticsBioData MiningPeer-reviewedAug 6, 2026

Simulation-based Bayesian deep learning enables uncertainty-aware tumor fraction estimation in cell-free DNA

Hadas Volkov, Maria Raitses‐Gurevich, Meitar Grad…·Noam Shomron

This paper introduces purNPE, a Bayesian deep learning framework for estimating tumor fraction in cell-free DNA without labeled cancer samples, achieving comparable performance to existing methods.

DOI 10.1186/s13040-026-00595-5

whole-genome sequencingBayesian inference

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 5, 2026

Exploring per-base quality scores as a surrogate marker of cell-free DNA fragmentome

Hadas Volkov, Maria Raitses‐Gurevich, Meitar Grad…·Noam Shomron

The paper shows that per-base quality scores in cfDNA whole-genome sequencing can classify cancer samples from controls with high accuracy using unsupervised analysis.

DOI 10.64898/2026.03.08.710357

whole-genome sequencingstatistical model

𝕏 PostBluesky