Instructions to use naisarg14/MLP-PanCanPred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use naisarg14/MLP-PanCanPred with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://naisarg14/MLP-PanCanPred") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,7 @@ tags:
|
|
| 12 |
- multi-classification
|
| 13 |
---
|
| 14 |
|
| 15 |
-
📢 [[GitHub Repo](https://github.com/naisarg14)] [[Research Paper (coming soon)]()]
|
| 16 |
|
| 17 |
# Serum-MiR-CanPred: An Artificial Intelligence-Driven Framework for Pan-Cancer Prediction Using a Minimal Set of Circulating miRNA Biomarkers
|
| 18 |
|
|
|
|
| 12 |
- multi-classification
|
| 13 |
---
|
| 14 |
|
| 15 |
+
📢 [[GitHub Repo](https://github.com/naisarg14)] [[Research Paper (coming soon)]()]
|
| 16 |
|
| 17 |
# Serum-MiR-CanPred: An Artificial Intelligence-Driven Framework for Pan-Cancer Prediction Using a Minimal Set of Circulating miRNA Biomarkers
|
| 18 |
|