Author

Kaiya Jones

Tuskegee University

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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Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Ailin Glagovsky· 1 shared Akash Kamandula· 1 shared Amanda M. WilliamsiD· 1 shared Andrea GrafmülleriD· 1 shared Andrzej KloczkowskiiD· 1 shared Boqi Wang· 1 shared Buse ÖzdeniD· 1 shared Cameron Jones· 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

Ailin Glagovsky

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1 paper

Recent·Most cited

Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A

Shantanu Jain, Marena I. Trinidad, Thanh Nguyen, Kaiya Jones, Santiago Diaz Neto, Fang Ge, Ailin Glagovsky, Cameron Jones, Giankaleb Moran, Boqi Wang, Kobra Rahimi, Sümeyra Zeynep Çalıcı, Luis R. Cedillo, Silvia Berardelli, Buse Özden, , Wyatt Travis Clark

The paper evaluates variant effect predictions for ARSA gene variants, finding that a bootcamp-trained model outperformed others and that deep learning slightly improved performance over simpler methods.

Human Genetics · Mar 1, 2025Peer-reviewedGenetics