Author

Tanya Wasserman

Technion – Israel Institute of TechnologyORCID 0000-0003-0221-1891Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Yonatan SaviriD· 2 shared Nati DanieliD· 1 shared Ronen Taub· 1 shared Tomer Czyzewski· 1 shared Zohar Adler· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Yonatan SavirORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 15, 2026

Longitudinal treatment selection under irreversible discontinuation: History-aware prediction and trajectory-aware learning in peanut-allergy prevention

Ronen Taub, Tanya Wasserman, Yonatan Savir

This paper introduces TreatNet, a framework for longitudinal treatment selection under irreversible discontinuation, showing improved accuracy in peanut-allergy prevention decisions.

DOI 10.64898/2026.10.09.757908

humanmachine learning (classical)

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Systems BiologybioRxivPreprintMay 17, 2022

Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Developmental Timing

Nati Daniel, Tanya Wasserman, Zohar Adler…·Yonatan Savir

The paper uses machine learning to analyze embryo developmental timing and shows that maternally aged embryos lose temporal regulation, impacting viability.

1 citation

mouseimaging

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