eccdna
eccDNAMamba_1M_cancer_eccdna_prediction_ultra_longeccDNAMamba-1MeccDNAMamba_real_vs_pseudo_eccdna_arabidopsis_thalianaeccDNAMamba_1M_eccdna_copy_number_level_prediction_threshold_10eccDNAMamba_1M_cancer_eccdna_prediction_shorteccDNAMamba_real_vs_pseudo_eccdna_homo_sapienseccDNAMamba_eccdna_copy_number_level_prediction_threshold_4.5eccDNAMamba_real_vs_pseudo_eccdna_gallus_gallus
Datasets
All datasets matching “eccdna”cancer_eccdna_prediction_ultra_long
Cancer-associated eccDNA prediction (ultra-long)
This dataset contains Cancer-associated eccDNA prediction (Ultra-long) sampled from healthy and cancer tissues.Each entry contains:
sequence: DNA string (A/T/C/G)
label: 0 = healthy, 1 = cancer
📁 Folder Structure
cancer_eccdna_prediction_ultra_long/
├── data/
│ └── cancer_eccdna_prediction_ultra_long.csv
├── hf_data/
│ ├── dataset_info.json
│ └── data.arrow
└── README.md
Citation
If you use this… See the full description on the dataset page: https://huggingface.co/datasets/eccDNAMamba/cancer_eccdna_prediction_ultra_long.eccdna-alti-results-3-7-short-toy-model-False-14-08-33eccdna_copy_number_level_prediction_threshold_4.5
eccDNA Copy-Number Level Prediction (Threshold = 4.5)
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
│ └── data.arrow… See the full description on the dataset page: https://huggingface.co/datasets/eccDNAMamba/eccdna_copy_number_level_prediction_threshold_4.5.eccdna-alti-results-3-7-short-toy-model-False-13-18-53real_vs_pseudo_eccdna_gallus_gallus
Real vs. Pseudo-eccDNA Discrimination (Gallus gallus)
This dataset supports the Real vs. Pseudo-eccDNA Discrimination task for gallus gallus eccDNA.The goal is to train models that can distinguish true eccDNA sequences from pseudo-eccDNAsrandomly extracted from linear genomic regions with matched length distributions.
Each entry contains:
sequence: raw eccDNA sequence (A/T/C/G)
label:
1 → Real eccDNA
0 → Pseudo-eccDNA (negative control)
📁 Folder Structure… See the full description on the dataset page: https://huggingface.co/datasets/eccDNAMamba/real_vs_pseudo_eccdna_gallus_gallus.real_vs_pseudo_eccdna_homo_sapiens
Real vs. Pseudo-eccDNA Discrimination (Homo sapiens)
This dataset supports the Real vs. Pseudo-eccDNA Discrimination task for human eccDNA.The goal is to train models that can distinguish true eccDNA sequences from pseudo-eccDNAsrandomly extracted from linear genomic regions with matched length distributions.
Each entry contains:
sequence: raw eccDNA sequence (A/T/C/G)
label:
1 → Real eccDNA
0 → Pseudo-eccDNA (negative control)
📁 Folder Structure… See the full description on the dataset page: https://huggingface.co/datasets/eccDNAMamba/real_vs_pseudo_eccdna_homo_sapiens.