Author

Sapirsh Amittai

Hebrew University of Jerusalem

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Genomics· 1

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Approach:deep learning· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Dina Schneidman‐DuhovnyiD· 1 shared Gal Passi· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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1 shared paperGenomics

Dina Schneidman‐DuhovnyORCID

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1 paper

Recent·Most cited

Calibrated Variant Effect Prediction at the Residue Level Using Conditional Score Distributions

Gal Passi, Sapirsh Amittai, Dina Schneidman‐Duhovny

This paper improves variant effect prediction by calibrating models at the residue level, enhancing both calibration and discrimination across variant subgroups.

bioRxiv · Nov 24, 2025 · PreprintGenomics