https://karbalayghareh.github.io/tag/doformer/DoFormerWowchemy (https://wowchemy.com)en-usMon, 04 May 2026 00:00:00 +0000https://karbalayghareh.github.io/media/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_2.pnghttps://karbalayghareh.github.io/tag/doformer/https://karbalayghareh.github.io/project/doformer/Mon, 04 May 2026 00:00:00 +0000https://karbalayghareh.github.io/project/doformer/<p>DoFormer is a Transformer for single-cell genomics that encodes gene interventions within attention, distinguishing observational and interventional regimes without requiring a directed acyclic graph. Using biologically informed training objectives, DoFormer improves prediction of held-out gene perturbations relative to baseline methods and transcriptomic foundation models. <a href="https://doi.org/10.64898/2026.05.02.722054" target="_blank" rel="noopener">Preprint on bioRxiv</a>.</p>