Linear discriminant analysis reveals hidden patterns in NMR chemical shifts of intrinsically disordered proteins.
Javier A. RomeroPaulina PutkoMateusz UrbanczykKrzysztof KazimierczukAnna Zawadzka-KazimierczukPublished in: PLoS Comput. Biol. (2022)
Keyphrases
- linear discriminant analysis
- protein structure
- intrinsically disordered
- chemical compounds
- amino acid sequences
- experimentally determined
- protein sequences
- discriminant analysis
- amino acids
- protein function
- face recognition
- principal component analysis
- dimensionality reduction
- molecular biology
- dimension reduction
- feature extraction
- disordered regions
- support vector
- support vector machine svm
- protein structure prediction
- secondary structure
- feature space
- drug discovery
- null space
- protein backbone
- high dimensional data
- fisher criterion
- scatter matrix
- computational biology
- interaction networks
- protein protein interactions
- computer vision