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Boom5426 authored Nov 7, 2024
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Expand Up @@ -80,7 +80,7 @@ Considering the increasing number of papers in this field, we roughly summarize

### 2024

- <a name=""></a>**[PRnet]** Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery (**Nature Communications**) [[paper](https://www.nature.com/articles/s41467-024-53457-1)] [[code](https://github.com/Perturbation-Response-Prediction/PRnet)]![GitHub stars](https://img.shields.io/github/stars//Perturbation-Response-Prediction.svg?logo=github&label=Stars)
- <a name=""></a>**[PRnet]** Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery (**Nature Communications**) [[paper](https://www.nature.com/articles/s41467-024-53457-1)] [[code](https://github.com/Perturbation-Response-Prediction/PRnet)]![GitHub stars](https://img.shields.io/github/stars//Perturbation-Response-Prediction/PRnet.svg?logo=github&label=Stars)

- <a name=""></a>**[PertKGE]** Identifying compound-protein interactions with knowledge graph embedding of perturbation transcriptomics (**Cell Genomics**) [[paper](https://www.sciencedirect.com/science/article/pii/S2666979X24002660?via%3Dihub#sec4)] [[code](https://github.com/myzhengSIMM/PertKGE)]![GitHub stars](https://img.shields.io/github/stars/myzhengSIMM/PertKGE.svg?logo=github&label=Stars)

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