#Machine Learning Feature Extraction

Demonstrates extracting features from DNA and protein sequences for machine learning tasks.

#Features

DNA Features:
- Nucleotide composition (A/T/G/C)
- k-mer frequency (di/tri/tetra nucleotides)
- Canonical k-mer frequency
- GC content
- Comprehensive DNA feature vector
Protein Features:
- Amino acid composition
- Dipeptide/tripeptide composition
- Physical-chemical properties (hydrophobicity, charge, polarity)
- Molecular weight
- Secondary structure propensity (Chou-Fasman)
- Position-specific features
- Comprehensive protein feature vector