PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning.
Jian-Qiang LiZhu-Hong YouXiao LiZhong MingXing ChenPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2017)
Keyphrases
- ensemble learning
- physico chemical
- amino acids
- physicochemical properties
- experimentally determined
- sequence alignment
- ensemble methods
- protein structure prediction
- protein sequences
- protein protein interactions
- contact map
- prediction accuracy
- generalization ability
- protein structure
- secondary structure
- random forest
- protein interaction
- protein function
- sequence analysis
- biological data
- network analysis
- concept drift
- base classifiers
- amino acid sequences
- data sets
- high throughput
- genomic data
- high precision
- functional modules
- protein complexes
- text mining
- natural language processing
- supervised learning
- information extraction
- support vector machine
- feature selection