Parameter-free representations outperform single-cell foundation models on downstream benchmarks

arXiv:2602.16696v1 Announce Type: new Abstract: Single-cell RNA sequencing (scRNA-seq) data exhibit strong and reproducible statistical structure. This has motivated the development of large-scale foundation models, such as TranscriptFormer, that use transformer-based architec...

🔗 Read more: https://arxiv.org/abs/2602.16696

#News #Biology #Policy #AI #Medicine #Space #Academic