Approach to autoencoding cdr3 sequence for TCR

Single-cell sequencing is now a integral tool in the field of immunology and oncology that allows researchers to couple RNA quantification and other modalities, like immune cell receptor profiling at the level of an individual cell. Towards this end, we developed the scRepertoire R package to assist in the interaction of immune receptor and gene expression sequencing. However, utilization of clonal indices for more complex analyses are still lacking, specifically in using clonality in embedding of single-cells. To this end, we developed an R package that uses deep learning to vectorize TCR sequences using order or translating the sequence into amino acid properties.

Nick Borcherding
Nick Borcherding
Assistant Professor

My research includes systems immunology, single-cell sequencing technology, and computational frameworks.