TFIDF-Random Forest: Prediction of Aptamer-Protein Interacting Pairs.
Eugene UwiragiyeKristen L. RhinehardtPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2022)
Keyphrases
- random forest
- subcellular localization
- protein interaction
- decision trees
- random forests
- contact map
- ensemble classifier
- feature ranking
- prediction accuracy
- experimentally determined
- feature set
- ensemble methods
- fold cross validation
- multi label
- protein structure
- cancer classification
- pairwise
- protein protein interactions
- text categorization
- amino acids
- feature importance
- protein sequences
- base classifiers
- ensemble learning
- data sets
- support vector machine
- artificial neural networks
- image processing
- feature selection
- computer vision