Datasets:
metadata
license: apache-2.0
tags:
- biology
- genomics
size_categories:
- 1K<n<10K
task_categories:
- token-classification
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)
π Folder Structure
eccdna_copy_number_prediction/ βββ data/ β βββ eccdna_copy_number_prediction.csv βββ hf_data/ β βββ dataset_info.json β βββ data.arrow βββ README.md
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:
@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}
}