shengyongniu commited on
Commit
011acfd
·
verified ·
1 Parent(s): f489565

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -0
README.md CHANGED
@@ -44,6 +44,9 @@ DAWO: Drug-Aware and Cell-line-Aware Variational Autoencoder for Drug Response P
44
 
45
  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66da9a063bc7bd82e34ff590/P2SDzTYysse_MOplfq9Lf.png)
46
 
 
 
 
47
  ### Overview
48
  DAWO is a specialized Variational Autoencoder (VAE) designed to predict drug responses in cancer cell lines by integrating gene expression data with drug and cell line features. The model leverages multi-modal representation learning to capture complex interactions between drugs and cells, enabling more accurate prediction of drug responses across diverse conditions.
49
 
 
44
 
45
  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66da9a063bc7bd82e34ff590/P2SDzTYysse_MOplfq9Lf.png)
46
 
47
+ ### Demo - if Dawo was a startup 👀
48
+ https://www.loom.com/share/23bb756458684b2eb416265049068331?sid=c3d6fab1-9041-4309-91bb-1a36a2fa3e16
49
+
50
  ### Overview
51
  DAWO is a specialized Variational Autoencoder (VAE) designed to predict drug responses in cancer cell lines by integrating gene expression data with drug and cell line features. The model leverages multi-modal representation learning to capture complex interactions between drugs and cells, enabling more accurate prediction of drug responses across diverse conditions.
52