Author

Ifeoma Ikwuemesi

George Washington University

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· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ahson M. Saiyed· 1 shared Courtney ThaxtoniD· 1 shared Junxia LiniD· 1 shared Samir GuptaiD· 1 shared Shannon M. McNultyiD· 1 shared Shruti RaoiD· 1 shared Subha MadhavaniD· 1 shared Trisha MiglaniiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Ahson M. Saiyed

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1 paper

Recent·Most cited

MACE2K: A Text-Mining Tool to Extract Literature-based Evidence for Variant Interpretation using Machine Learning

Samir Gupta, Shruti Rao, Trisha Miglani, Yasaswini Iyer, Junxia Lin, Ahson M. Saiyed, Ifeoma Ikwuemesi, Shannon M. McNulty, Courtney Thaxton, Subha Madhavan

MACE2K extracts variant-disease association evidence from biomedical literature using machine learning models, achieving high recall and precision in identifying relevant sentences.

bioRxiv · Dec 3, 2020 · PreprintBioinformatics