TifBERT: a self-supervised foundation model for normalization-robust bulk RNA-seq representation learning
SeyedMohsen Hosseini, Divya Sharma
TifBERT is a self-supervised foundation model for bulk RNA-seq that learns normalization-robust representations without expression discretization or external embeddings, achieving high accuracy and capturing pathway-level biology.
bioRxiv · Jun 11, 2026 · PreprintBioinformatics