change description

Author: rcannood

src/methods/suzuki_mlp/config.vsh.yaml

@@ -1,17 +1,19 @@
 __merge__: ../../api/comp_method.yaml
 name: suzuki_mlp
 label: Suzuki MLP
-summary: Shuji Suzuki's winning neural network solution for multimodal single-cell integration.
+summary: Hierarchical encoder-decoder neural network with task-specific preprocessing and residual connections for cross-modal prediction.
 description: |
   A hierarchical neural network encoder-decoder model based on Shuji Suzuki's 1st place solution
   in the Open Problems Multimodal Single-Cell Integration competition. The model uses task-specific
   preprocessing, SVD dimensionality reduction, and hierarchical MLP blocks with residual connections
   for learning cross-modal mappings.
-references:
-  doi: 10.1038/s41592-022-01652-z
+  
+  The original author's code was adapted by GitHub Copilot 
+  (using Claude Sonnet) to integrate with this repository's framework and standards.
+links:
+  documentation: https://www.kaggle.com/competitions/open-problems-multimodal/discussion/348468
+  repository: https://github.com/shu65/open-problems-multimodal
 info:
-  documentation_url: https://github.com/shu65/open-problems-multimodal
-  repository_url: https://github.com/shu65/open-problems-multimodal
   preferred_normalization: log_cp10k
 arguments:
   # Task configuration
@@ -92,7 +94,7 @@ resources:
   - path: utils.py
 engines:
   - type: docker
-    image: openproblems/base_pytorch_nvidia:1.0.0
+    image: openproblems/base_pytorch_nvidia:1
 runners:
   - type: executable
   - type: nextflow