Update README.md

README.md

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-[![arxiv](https://img.shields.io/badge/arxiv-blue)](https://arxiv.org/abs/2506.09007)
+ <a href="https://arxiv.org/abs/2506.09007"><img src="https://img.shields.io/badge/Arxiv-2412.17762-red?style=for-the-badge&logo=Arxiv" alt="arXiv"/></a>
 
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 <p align="center"><em>Figure 4: Application of BranchSBM on Modeling Differentiating Single-Cell Population Dynamics.</em></p>
 
-### 3. Modeling Drug-Induced Perturbation Resposes
+### 3. Modeling Drug-Induced Perturbation Responses
 Predicting the effects of perturbation on cell state dynamics is a crucial problem for therapeutic design. In this experiment, we leverage BranchSBM to model the trajectories of a single cell line from a single homogeneous state to multiple heterogeneous states after a drug-induced perturbation. We demonstrate that BranchSBM is capable of capturing the dynamics of high-dimensional gene expression data and learning branched trajectories that accurately reconstruct diverging perturbed cell populations.
 
 First, we modeled two branches to two divergent subpopulations in the Clonidine-perturbed cells from the initial control DMSO-treated cells with BranchSBM and compared with single-branch SBM.