Cell-Lens: Advancing LLM Reasoning at Single-Cell Resolution
Recent work applies large language models (LLMs) to single-cell data, but the cell usually reaches the model as a short ranked list of genes. This list drops much of what defines a cell, so the model reasons from a partial view. Yet the information is not lost in the measurement, only in the text. Here, we introduce Cell-Lens, a training-free structured representation of the measured cell. It…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
