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  - 10K<n<100K
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  dataset_summary: >-
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  AggregatorAdvisor identifies molecules that are known to aggregate or may aggregate in biochemical assays.
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- The approach is based on the chemical similarity to known aggregators, and physical properties.
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-
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- The train and test datasets uploaded to our Hugging Face repository have been sanitized and split from the original dataset, which contains 12645 compounds.
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- If you want to try these processes with the original dataset, please follow the instructions in the
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- [Processing Script.py](https://huggingface.co/datasets/maomlab/AggregatorAdvisor/blob/main/Preprocessing%20Script.py) file located in the AggregatorAdvisor.
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- [Processing Script.py](https://huggingface.co/datasets/maomlab/HematoxLong2023/blob/main/Processing%20Script.py)
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  citation: >-
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  @article
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  {Irwin2015, title = {An Aggregation Advisor for Ligand Discovery},
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  ---
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  # Aggregator Advisor
 
 
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  ## Quickstart Usage
 
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  - 10K<n<100K
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  dataset_summary: >-
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  AggregatorAdvisor identifies molecules that are known to aggregate or may aggregate in biochemical assays.
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+ The approach is based on the chemical similarity to known aggregators, and physical properties.\
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+ The train and test datasets were created after sanitizing and splitting the original dataset in the paper below.
 
 
 
 
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  citation: >-
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  @article
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  {Irwin2015, title = {An Aggregation Advisor for Ligand Discovery},
 
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  ---
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  # Aggregator Advisor
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+ The train and test datasets uploaded to our Hugging Face repository have been sanitized and split from the original dataset, which contains 12645 compounds.
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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/AggregatorAdvisor/blob/main/Preprocessing%20Script.py) file located in the AggregatorAdvisor.
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  ## Quickstart Usage