Evelyn Lattmann

CATFISHR integrates transcriptomic and copy-number data to improve malignant cell identification in scRNA-seq, achieving high accuracy across multiple datasets and identifying previously missed malignant populations.

The paper identifies a pre-invasive malignant keratinocyte population in actinic keratosis, characterized by p63 and PITX1 regulation, and distinguishes early oncogenic programs from invasion effectors in squamous cell carcinoma.

This study uses deep learning to classify drug-naive and resistant cancer cells based on morphology, achieving high accuracy across multiple cancer types and drug classes.

This paper develops an AI-based classifier to classify melanoma cell phenotypes using morphology, validated by scRNA-Seq, showing morphology correlates with phenotypic states.