Emmi Jokinen

The paper identifies drugs that rewiring the cancer-immune interface by enhancing NK cell function and tumor susceptibility through multimodal screening approaches.

TSignal is a transformer model that predicts signal peptides and their cleavage sites, showing improved accuracy across various organisms and peptide types.

TCRconv predicts T-cell receptor-epitope recognition using a deep learning model and provides insights into T-cell dynamics in COVID-19 patients.

The paper introduces TCRGP, a Gaussian process method for predicting TCR epitope specificity, and applies it to scRNA+TCRβ data to identify HBV-epitope specific T cells in hepatocellular carcinoma patients.