CIFM is an AI foundation model that can simulate the activities within living tissues (AI virtual tissue). The signature functions of CIFM are:
- Embedding of celllular microenvironments via
embeddings = model.embed(adata)
(the 1st Figure below panel D top); - Inference/simulation of cellular gene expressions within a certain microenvironment via
expressions = model.predict_cells_at_locations(adata, target_locs)
(the 1st Figure below panel D bottom, and the 2nd Figure below).
More information about the model can be found in the preprint.
- CIFM-100M [huggingface]
If you use this code for you research, please cite our paper.
@article{you2025building,
title={Building Foundation Models to Characterize Cellular Interactions via Geometric Self-Supervised Learning on Spatial Genomics},
author={You, Yuning and Wang, Zitong and Fleisher, Kevin and Liu, Rex and Thomson, Matt},
journal={bioRxiv},
pages={2025--01},
year={2025},
publisher={Cold Spring Harbor Laboratory}
}