Author

Grace M. Thiong’o

ORCID 0000-0001-6684-9443Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:CRISPR screen· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adegboyega Ogundokun· 1 shared

Activity by Year

2025-2025 · peak 1/yr

1 paper

Recent·Most cited

GeneticsbioRxivPreprintApr 22, 2025

Empirical Simulation and In Silico Evaluation of an Ethically Governed, AI-Enhanced CRISPR Prime Editing Framework for TOR1A Mutation Correction in Dystonia

Grace M. Thiong’o, Adegboyega Ogundokun

The paper develops an AI-enhanced CRISPR prime editing framework for correcting TOR1A mutations in dystonia, showing strong predictive performance and identifying key factors influencing editing efficiency.

DOI 10.1101/2025.04.22.650096

humanCRISPR screen

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