eccDNAMamba/eccdna_copy_number_level_prediction_threshold_10
eccDNA Copy-Number Level Prediction (Threshold = 10) This dataset supports the eccDNA copy-number prediction task,where the model learns to infer relative copy-number levels directly from eccDNA sequences. Each entry contains: sequence: DNA string (A/T/C/G) label: copy-number stratum (e.g., 0 = low, 1 = high) 📁 Folder Structure eccdna_copy_number_prediction/ ├── data/ │ └── eccdna_copy_number_prediction.csv ├── hf_data/ │ ├── dataset_info.json │ └──… See the full description on the dataset page: https://huggingface.co/datasets/eccDNAMamba/eccdna_copy_number_level_prediction_threshold_10.
eccDNA Copy-Number Level Prediction (Threshold = 10)
This dataset supports the eccDNA copy-number prediction task, where the model learns to infer relative copy-number levels directly from eccDNA sequences.
Each entry contains:
sequence: DNA string (A/T/C/G)label: copy-number stratum (e.g., 0 = low, 1 = high)
📁 Folder Structure
<pre> eccdnacopynumberprediction/ ├── data/ │ └── eccdnacopynumberprediction.csv ├── hfdata/ │ ├── datasetinfo.json │ └── data.arrow └── README.md </pre>
Task Description
Predicting eccDNA copy-number levels is biologically meaningful, as eccDNA abundance reflects amplification intensity and oncogenic potential.
This dataset is derived from eccDNAdb and contains balanced examples across multiple copy-number thresholds (e.g., >10 and >4.5).
Citation
If you use this dataset, please cite: <pre><code class="language-python">
@inproceedings{liu2025eccdnamamba, title={eccDNAMamba: A Pre-Trained Model for Ultra-Long eccDNA Sequence Analysis}, author={Zhenke Liu and Jien Li and Ziqi Zhang}, booktitle={ICML 2025 GenBio Workshop}, year={2025}, url={https://openreview.net/forum?id=56xKN7KJjy} } </code></pre>