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@@ -225,7 +225,7 @@ In this study, they present the first data-driven approach to simultaneously det
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  Their method enables false positive and true positive detection without relying on prior screens or assay interference mechanisms, making it applicable to any high throughput screening campaign.
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  The datasets uploaded to our Hugging Face repository have been sanitized using RDKit and MolVS.
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- If you want to try these processes with the original dataset, please follow the instructions in the [Processing Script.py]() file in the maomlab/Boldini2024.
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  # Citation
 
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  Their method enables false positive and true positive detection without relying on prior screens or assay interference mechanisms, making it applicable to any high throughput screening campaign.
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  The datasets uploaded to our Hugging Face repository have been sanitized using RDKit and MolVS.
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+ If you want to try these processes with the original dataset, please follow the instructions in the [Processing Script.py](https://huggingface.co/datasets/maomlab/Boldini2024/blob/main/Boldini2024%20Preprocessing.py) file in the maomlab/Boldini2024.
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  # Citation