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1from cfdna_gen import CfDNAGenerator
2
3# Load model
4generator = CfDNAGenerator.from_pretrained("EabhaSeq/cfdna-gen")
5
6# Generate sequences
7sequences = generator.generate(
8 n_sequences=100,
9 fragment_lengths=165,
10 target_gc=0.42,
11 target_ff=0.10,
12)
13
14for seq in sequences[:5]:
15 print(seq)pip install cfdna-gen[hub]| Metric | Score |
|---|---|
| Overall Similarity | 92.9% |
| Fragment Length Match | 98.4% |
| GC Content Match | 93.3% |
| Nucleotide Frequency | 99.0% |
| Bimodal Peaks Detection | 100% |
| Nucleosome Periodicity | 100% |
1@software{cfdna_gen,
2 title={cfDNA-Gen: Conditional Causal Transformer for cfDNA Sequence Generation},
3 author={Redelinghuys, Kyle},
4 year={2025},
5 url={https://github.com/eabhaseq/cfdna-gen}
6}