Tyler A. Jost

Deep learning identifies heterogeneous subpopulations in breast cancer cell lines

This study uses deep learning to classify transcriptomic subpopulations in breast cancer cell lines based on morphology, showing that chemotherapy-induced changes and intra-line subpopulations are identifiable.

Mapping cell-cell fusion at single-cell resolution

The paper introduces CMDuo, a tool to map cell-cell fusion events in tumors using scRNA-seq, revealing subclonal transcriptomic hybrids and fusion-driven cell states in triple-negative breast cancer.

Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations

The paper introduces clusterCleaver, a computational tool that identifies surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations using scRNA-seq data.