K-mer Features
Cross-source consensus on K-mer Features from 1 sources and 5 claims.
1 sources · 5 claims
Preparation
Risks & contraindications
Evidence quality
Highlighted claims
- The k-mer representation used relative frequencies of all 400 possible dipeptides. — Evaluating the Limitations of Protein Sequence Representations for Parkinson's Disease Classification
- The genetic algorithm selected fold-specific k-mer subsets averaging about 84 features. — Evaluating the Limitations of Protein Sequence Representations for Parkinson's Disease Classification
- No single stable selected k-mer subset appeared across all folds. — Evaluating the Limitations of Protein Sequence Representations for Parkinson's Disease Classification
- K-mer and hybrid representations often achieved higher F1 by over-predicting the positive class. — Evaluating the Limitations of Protein Sequence Representations for Parkinson's Disease Classification
- GA feature selection reduced dimensionality but did not discover a robust disease-discriminative signal. — Evaluating the Limitations of Protein Sequence Representations for Parkinson's Disease Classification