Author

Liya Rabkina

University of California, San Francisco

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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Genetics· 1

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Andrew SingletoniD· 1 shared Argentina Lario LagoiD· 1 shared Caroline JonsoniD· 1 shared Cornelis BlauwendraatiD· 1 shared Dan VitaleiD· 1 shared Eliana Marisa RamosiD· 1 shared Hampton L. LeonardiD· 1 shared Jennifer S. YokoyamaiD· 1 shared

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2025-2025 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Andrew SingletonORCID

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1 paper

Recent·Most cited

Random forest model improves annotation and discovery of variants of uncertain significance in Alzheimer's and other neurological disorders

Caroline Jonson, Mary B. Makarious, Mathew J. Koretsky, Dan Vitale, Liya Rabkina, Argentina Lario Lago, Manizhe Eslami‐Amirabadi, Eliana Marisa Ramos, Priyanka S. Narayan, Jennifer S. Yokoyama, Andrew Singleton, Cornelis Blauwendraat, Mark Cookson, Mike A. Nalls, Hampton L. Leonard

MoVUS, a random forest model, classifies variants of uncertain significance in Alzheimer's and neurological disorders with high accuracy, prioritizing potentially pathogenic variants.

bioRxiv · Oct 2, 2025 · PreprintGenetics