Karen Barthel

Explainable Machine Learning Identifies Dosage Compensation Factors in Aneuploid Human Cancer Cells

This study uses explainable machine learning to identify factors that buffer protein levels in aneuploid cancer cells, finding key predictors and implications for therapy.

Proteogenomic analysis reveals adaptive strategies to alleviate the consequences of aneuploidy in cancer

The paper identifies adaptation strategies in aneuploid cancer cells through in vitro evolution and multi-omics analysis, revealing key transcription factors and genomic changes that improve proliferation and survival.