Author

Manizhe Eslami‐Amirabadi

University of California, San FranciscoORCID 0000-0002-2166-2439Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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

Activity by Year

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

GeneticsbioRxivPreprintOct 2, 2025

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…·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.

DOI 10.1101/2025.10.02.680068

humanwhole-exome sequencing

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