#20 B cell receptor substitution profile prediction and SPURF with Kristian Davidsen and Amrit Dhar
April 30, 2018
In this episode Kristian Davidsen and Amrit Dhar present their project called SPURF. SPURF can predict the B cell receptor (BCR) substitution profile of a given clonal family based on a single representative sequence from that family. SPURF works by fitting a tensor regression model to publicly available Rep-seq data.
- Preprint: Predicting B Cell Receptor Substitution Profiles Using Public Repertoire Data
- Blog post about SPURF by Erick Matsen
- SPURF on GitHub
This episode was recorded with Zencastr.