DNA-Encoded ML Pipeline
DNA-encoded machine learning for PV signal detection — encode PV features as DNA strands, compute biological similarity metrics, train augmented random forest on 17-dim feature space
3 toolsdna-ml
Dna Ml Encode
Encode a PV feature vector as a DNA strand. Quantizes floating-point features to bytes, then encodes as nucleotide seque
features
Dna Ml Similarity
Compute DNA similarity between two PV feature vectors. Encodes both as DNA strands, then computes Hamming distance, GC c
features_afeatures_b
Dna Ml Pipeline Run
Run the full DNA-ML pipeline: FAERS data → 12 PV features → DNA encoding → 5 similarity features → 17-dim augmented vect
datalabels