Author

Eric Williams

National Marrow Donor Program

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

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Martin J. MaiersiD· 3 shared Adarsh Sivasankaran· 2 shared Vladimir CherkasskyiD· 2 shared Abeer S. MadboulyiD· 1 shared Antoine LizéeiD· 1 shared Catherine A. Ball· 1 shared Chao ZhaoiD· 1 shared Chris J. Lin· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Martin J. MaiersORCID

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Author profile →

3 papers

Recent·Most cited

Multiple Measures Reveal The Value of Both Race And Geographic Ancestry For Self-Identification

Vincent Damotte, Chao Zhao, Chris J. Lin, Eric Williams, Yoram Louzoun, Abeer S. Madbouly, Rochelle Kotlarz, Marisa McDaniel, Paul J. Norman, Antoine Lizée, Natalie M. Myres, Catherine A. Ball, Kenneth G. Chahine, Jake Byrnes, Yong Wang, , Jill A. Hollenbach

The paper examines how self-reported race and geographic ancestry relate to genetic data in a large U.S. cohort, finding that combining both measures better reflects genetic ancestry than either alone.

bioRxiv · Jul 13, 2019 · PreprintGenetics

Machine Learning Approach to Predicting Stem-Cell Donor Availability

Adarsh Sivasankaran, Eric Williams, Mark C. Albrecht, Galen E. Switzer, Vladimir Cherkassky, Martin J. Maiers

This study uses machine learning to predict individual donor availability for stem-cell transplants, improving selection efficiency.

Transplantation and Cellular Therapy · Jul 30, 2018Peer-reviewedBioinformatics

Unrelated Donor Selection for Stem Cell Transplants using Predictive Modelling

Adarsh Sivasankaran, Eric Williams, Martin J. Maiers, Vladimir Cherkassky

This study uses machine learning to improve unrelated donor selection for stem cell transplants by analyzing historical selection data.

bioRxiv · Jan 4, 2018 · PreprintBioinformatics