BioMod: Biological Module Tokenization for Single-Cell Foundation Modeling
Single-cell foundation models typically represent cells as flat sequences of individual genes, requiring higher-order biological organization to be inferred implicitly from sparse expression profiles. Similar to the evolution from character-level to semantic tokenization in natural language processing,we hypothesize that cellular states can be more efficiently represented using biologically…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
