Update README.md

README.md

@@ -85,7 +85,7 @@ Papers that utilize Transformer models to analyze single-cell genomic data.
 ### Benchmarking Papers
 | 📄 Paper                                          | 💻 Code              | 🧠 Benchmarking Models           | 🌟 Main Focus                          | 📝 Results & Insights |
 |---------------------------------------------------|----------------------|----------------------------------|----------------------------------------|-----------------------|
-| [x](#)      | [x](#)     | [x](#) | x    | x |
+| [Evaluating the Utilities of Foundation Models in Single-cell Data Analysis](https://www.biorxiv.org/content/10.1101/2023.09.08.555192v5). Tianyu Liu et al. _bioRxiv_ (2024)   |  [GitHub Repository](https://github.com/HelloWorldLTY/scEval)   |  scGPT, scFoundation, tGPT, GeneCompass, SCimilarity, UCE, and CellPLM | This paper evaluates the performance of foundation models (FMs) in single-cell sequencing data analysis, comparing them to task-specific methods across eight downstream tasks and proposing a systematic evaluation framework (scEval) for training and fine-tuning single-cell FMs. The study highlights that while single-cell FMs may not always outperform task-specific methods, they show promise in cross-species/cross-modality transfer learning and possess unique emergent abilities.    | Open-source single-cell FMs generally outperform closed-source ones due to their accessibility and the community feedback they receive; pre-training significantly enhances model performance in tasks like Cell-type Annotation and Gene Function Prediction. However, the study also found limitations in the stability and performance of single-cell FMs across certain tasks, suggesting the need for more nuanced training and fine-tuning processes, and indicating substantial room for improvement in their development. |
 
 ### Review/Perspective Papers
 | 📄 Paper                                          | 💻 Code              | 🌟 Highlights/Main Focus                          | 📝 Remarks & Conclusion                |