Author

Jack Nicoludis

Genentech

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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Genetic & Genomic Medicine· 1

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

Frequent Co-Authors

Alexander Wahl· 1 shared Alexandre ColaviniD· 1 shared Britt A. JohnsoniD· 1 shared Carlos L. ArayaiD· 1 shared Elaine Y. CheniD· 1 shared Flavia M. FacioiD· 1 shared Hillery C. MetziD· 1 shared Jason ReuteriD· 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 paperGenetic & Genomic Medicine

Alexander Wahl

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1 paper

Recent·Most cited

The impact of systematized generation, evaluation, and incorporation of machine learning algorithms for clinical variant classification

Laure Frésard, Flavia M. Facio, Elaine Y. Chen, Alexandre Colavin, Britt A. Johnson, Carlos L. Araya, Toby R. Manders, Alexander Wahl, Hillery C. Metz, Jack Nicoludis, Karen Ouyang, Samskruthi Reddy Padigepati, Yuya Kobayashi, Jason Reuter, Keith Nykamp

The paper develops a machine learning platform to improve variant classification, reducing VUS rates and improving concordance with ClinVar submissions.

medRxiv · Feb 3, 2025 · PreprintGenetic & Genomic Medicine