GoT-Multi integrates genotyping and single-cell RNA sequencing.
It enables analysis of fresh and FFPE tissue samples.
The method was applied to chronic lymphocytic leukemia tumors.
Distinct genetic subclones exhibited overlapping transcriptional profiles.
The ensemble machine learning pipeline enhances mutation detection accuracy.
Findings aid in understanding tumor heterogeneity and resistance.
GoT-Multi may influence clinical diagnostics and molecular classification.
Cancer’s Clonal Complexity and Clues to Therapy Resistance
By decoding both genetic and transcriptional variation, GoT-Multi offers a fresh look at tumor evolution and resistance pathways
10/24/2025
News
2 min read
