Hierarchical Motif Vectors for Prediction of Functional Sites in Amino Acid Sequences Using Quasi-Supervised Learning.
Bilge KaraçaliPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2012)
Keyphrases
- amino acid sequences
- supervised learning
- tertiary structure
- protein tertiary structure
- contact maps
- sequence analysis
- unsupervised learning
- protein sequences
- secondary structure
- protein structure
- molecular biology
- learning algorithm
- amino acids
- protein structure prediction
- training set
- spatial structure
- protein function
- training data
- dna sequences
- sequence data
- biological sequences
- high throughput
- labeled data
- data mining