Update README.md

README.md

@@ -70,7 +70,7 @@ The dataset is designed for training and benchmarking **graph-augmented large la
 
 ## Preprocessing Details  
 
-![Dataset composition and splits](FigureS1.pdf)
+![Dataset composition and splits](./FigureS1.pdf)
 
 - **Starting cohort**: 985 DepMap cell lines  
   - 649 annotated (cancerous)  
@@ -104,7 +104,7 @@ The dataset is designed for training and benchmarking **graph-augmented large la
 
 ## Prompt Design  
 
-### Initial Prompt ($P^{init}_n$)  
+### Initial Prompt (`P_init_n`)  
 
 **Inputs:**  
 - Top-10 ranked genes, transcripts, proteins  
@@ -112,16 +112,16 @@ The dataset is designed for training and benchmarking **graph-augmented large la
 - Known PPI and disease–protein relationships  
 
 **Output:**  
-- 100 vulnerability genes $r^{(init)}_{n,1...100}$  
+- 100 vulnerability genes `r_init[n,1...100]`  
 
-### Refined Prompt ($P^{final}_n$)  
+### Refined Prompt (`P_final_n`)  
 
 **Inputs:**  
 - Same as above  
 - + Subsignaling gene regulatory network (from graph generator)  
 
 **Output:**  
-- Refined 100 vulnerability genes $\hat{r}_{n,1...100}$  
+- Refined 100 vulnerability genes `r_hat[n,1...100]`  
 
 ---
 
@@ -154,17 +154,3 @@ This dataset is based on **DepMap** data and is subject to the **DepMap Terms of
 
 **Suggested acknowledgment:**  
 > "The results here are in whole or part based upon data generated by the DepMap, Broad Institute of MIT and Harvard."  
-
----
-
-## Citation  
-
-If you use this dataset, please cite:  
-
-```bibtex
-@article{zhang2025galax,
-  title={GALAX: Graph-Augmented Language Model with Explainability for CRISPR Target Prioritization},
-  author={Zhang, Heming and Li, Fuhai and Chen, Yixin and others},
-  year={2025},
-  journal={Preprint}
-}