Automated Machine Learning Profiling with MAP-HR for Quantifying Homologous Recombination Foci in Patient Samples
Tugba Y. Ozmen, Matthew J. Rames, Gabriel Mesquita Zangirolani, Furkan Ozmen, Kangjin Jeong, Connor Mitchell Frankston, Gordon Brent Mills
The paper introduces MAP-HR, a machine learning platform for quantifying homologous recombination foci in patient samples to assess HR deficiency and guide therapy.
NAR Cancer · Jul 29, 2025Peer-reviewedCancer Biology