Yuning You
commited on
Commit
·
e100fb6
1
Parent(s):
14bd8e0
update
Browse files
README.md
CHANGED
@@ -13,7 +13,7 @@ tags:
|
|
13 |
# CI-FM: Cellular Interaction Foundation Model
|
14 |
|
15 |
## Overview
|
16 |
-
This is the PyTorch implementation of the CI-FM model -- an AI model that can simulate the
|
17 |
The current version of CI-FM has 138M parameters and is trained on around 23M cells of spatial genomics. The signature functions of CI-FM are:
|
18 |
- **Embedding** of celllular microenvironments via ```embeddings = model.embed(adata)``` (Figure below panel D top);
|
19 |
- **Inference** of cellular gene expressions within a certain microenvironment via ```expressions = model.predict_cells_at_locations(adata, target_locs)``` (Figure below panel D bottom).
|
|
|
13 |
# CI-FM: Cellular Interaction Foundation Model
|
14 |
|
15 |
## Overview
|
16 |
+
This is the PyTorch implementation of the CI-FM model -- an AI model that can simulate the activities within a living tissue (AI virtual tissue).
|
17 |
The current version of CI-FM has 138M parameters and is trained on around 23M cells of spatial genomics. The signature functions of CI-FM are:
|
18 |
- **Embedding** of celllular microenvironments via ```embeddings = model.embed(adata)``` (Figure below panel D top);
|
19 |
- **Inference** of cellular gene expressions within a certain microenvironment via ```expressions = model.predict_cells_at_locations(adata, target_locs)``` (Figure below panel D bottom).
|