Author

Hermella Shimelis

Mayo Clinic

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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Bioinformatics· 1

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Eric C. PolleyiD· 1 shared Fergus J. CouchiD· 1 shared Siddhartha YadaviD· 1 shared Steven N. HartiD· 1 shared

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2020-2020 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Eric C. PolleyORCID

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1 paper

Recent·Most cited

Bioinformaticsnpj Breast CancerPeer-reviewedApr 29, 2020

Prediction of the functional impact of missense variants in BRCA1 and BRCA2 with BRCA-ML

Steven N. Hart, Eric C. Polley, Hermella Shimelis…·Fergus J. Couch

BRCA-ML is a machine learning model trained to predict the functional impact of missense variants in BRCA1 and BRCA2 genes, outperforming existing methods.

34 citations

humanmachine learning (classical)

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