Update README.md

README.md

@@ -15,14 +15,15 @@ extra_gated_fields:
   I agree to use this model for non-commercial use ONLY: checkbox
 ---
 ## Overview
-
 This model ranks candidate disease-causing genes based on a patient’s phenotypic information. During inference, it does not generate a full free-text response. Instead, it performs gene-token subspace ranking on the logits at the final position and outputs a prioritized list of genes.
 
-## Generate Prompt
-Use `https://phenogemini.org` to generate a prompt that includes similar patients.
+> **Visit https://github.com/discostudy/phenogemini  
+> for additional usage examples and demonstration data derived from real-world cohorts.**  
 
+## Step 1: Generate Prompt
+Use `https://phenogemini.org` to generate a prompt that includes similar patients.
 
-## Inference
+## Step 2: Inference
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
@@ -95,5 +96,5 @@ with torch.no_grad():
     sorted_gene_tok = tokenizer.convert_ids_to_tokens(sorted_gene_ids.tolist())
 ```
 
-## Special Gene Token Example
-In `<|PhenoGemini-Special-Token-Entrez-ID-64087|>`, the numeric value after the final hyphen represents the Entrez Gene ID.
+> **Special Gene Token Example**
+> In `<|PhenoGemini-Special-Token-Entrez-ID-64087|>`, the numeric value after the final hyphen represents the Entrez Gene ID.