Author

Yair Benita

ORCID 0009-0003-1361-6429Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1

Frequent Co-Authors

Adir Katz· 1 shared Benny Halberstadt· 1 shared Chanan Rubin· 1 shared Elina Starosvetsky· 1 shared Hadas Orly· 1 shared Liron Bar· 1 shared Maxim V. KuleshoviD· 1 shared Naama Wald· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Adir Katz

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 13, 2026

Iterative Gene Enrichment Analysis: interpretable networks for human and AI-assisted biological insights

Maxim V. Kuleshov, Yair Benita

The paper introduces iGEA, a framework that transforms gene enrichment results into interpretable networks, enabling human and AI-assisted biological insights.

DOI 10.64898/2026.09.06.749570

humanstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 19, 2021

CytoPro: A computational platform for accurate and robust assessment of cell contributions in bulk expression from diverse tissues and conditions

Adir Katz, Renaud Gaujoux, Hadas Orly…·Shai S. Shen-Orr

CytoPro is a deconvolution platform that accurately estimates cell-type composition from bulk gene expression, outperforming existing tools in accuracy and robustness.

3 citations

humanbulk RNA-seq

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