Author

Yezi Yang

Northwestern UniversityPrimary ORCID profile (0000-0003-3320-9110 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

Yezi YangiD1 paper · University of Wisconsin–Madison

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alfred L. GeorgeiD· 1 shared Dina SimkiniD· 1 shared Evangelos KiskinisiD· 1 shared Kelly A. MarshalliD· 1 shared Linda C. Laux· 1 shared Mennat GharibiD· 1 shared Syed M.A. WafaiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Alfred L. GeorgeORCID

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Author profile →

1 paper

Recent·Most cited

Machine Learning Resolves Functional Phenotypes and Therapeutic Responses in KCNQ2 Developmental Epileptic Encephalopathy iPSC Models

Dina Simkin, Syed M.A. Wafa, Mennat Gharib, Kelly A. Marshall, Yezi Yang, Linda C. Laux, Alfred L. George, Evangelos Kiskinis

The paper uses machine learning to analyze iPSC-derived neurons from KCNQ2-DEE patients, identifying functional phenotypes and showing retigabine's variable efficacy in rescuing disease features.

bioRxiv · Jul 26, 2025 · PreprintNeuroscience