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metadata
dataset_info:
  features:
    - name: SL_GENE
      dtype: string
    - name: TS_GENE
      dtype: string
  splits:
    - name: train
      num_bytes: 3596
      num_examples: 209
  download_size: 2207
  dataset_size: 3596
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0

Dataset Description

The SL_GENE_PAIRS dataset provides a curated collection of synthetic lethal (SL) gene pairs and their associated tumor suppressor (TS) genes. This dataset is designed to facilitate research in synthetic lethality, cancer biology, and computational genomics.

Features

  • SL_GENE: The synthetic lethal gene in the pair. Synthetic lethality occurs when the simultaneous disruption of this gene and the associated tumor suppressor gene results in cell death, making it a potential therapeutic target.
  • TS_GENE: The tumor suppressor gene paired with the synthetic lethal gene. Tumor suppressor genes are often mutated or inactivated in cancer, and their synthetic lethal partners can be exploited for targeted therapies.

Dataset Details

  • Number of Records: 209
  • Splits:
    • Train: 209 examples
  • Size:
    • Dataset Size: 3,596 bytes
    • Download Size: 2,207 bytes

Potential Use Cases

  • Cancer Research: Identify gene pairs that can be leveraged for targeted therapies, particularly in cancers with specific tumor suppressor gene mutations.
  • Drug Discovery: Support drug screening efforts to identify inhibitors for synthetic lethal genes in cancer cells.
  • Synthetic Lethality Prediction Models: Provide labeled data for training machine learning models to predict novel synthetic lethal interactions.

Example Queries

  • Identify SL genes associated with common TS genes such as TP53.
  • Explore gene pairs for rare cancers where specific tumor suppressors are frequently inactivated.
  • Train predictive models for synthetic lethality using this dataset.

Citation

If you use this dataset, please cite it as follows:

@dataset{dwb2023_sl_gene_pairs,
  author = {dwb2023},
  title = {Synthetic Lethal Gene Pairs Dataset},
  year = {2025},
  publisher = {Hugging Face Datasets},
  url = {https://huggingface.co/datasets/dwb2023/sl_gene_pairs}
}

Acknowledgements

The dataset was curated using publicly available resources on synthetic lethality and tumor suppressor genes. It is designed to support academic and industrial research in cancer genomics.

License

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Ensure proper attribution when using this dataset.