Seq2MAIT: A Novel Deep Learning Framework for Identifying Mucosal Associated Invariant T (MAIT) Cells
Hesham ElAbd, Rachel Byron, Steven Woodhouse, Brittney Robinett, Joe Sulc, André Franke, Mitchell W. Pesesky, Wenyu Zhou, Haiyin Chen‐Harris, Bryan Howie, Ruth T. Taniguchi, Harlan S. Robins
Seq2MAIT identifies MAIT cells from bulk TCR-sequencing data using a transformer-based model, achieving AUROC >0.80 across datasets.
bioRxiv · Mar 12, 2024 · PreprintBioinformatics