Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics.
Anne-Laure BoulesteixSilke JanitzaJochen KruppaInke R. KönigPublished in: WIREs Data Mining Knowl. Discov. (2012)
Keyphrases
- computational biology
- random forest
- molecular biology
- protein sequences
- random forests
- machine learning
- decision trees
- feature set
- natural language processing
- sequence analysis
- ensemble methods
- fold cross validation
- multiple sequence alignment
- cancer classification
- real world
- multi label
- image processing
- biological sequences
- motif discovery
- base classifiers
- artificial intelligence
- biological information
- protein structure prediction
- genetic algorithm
- training data
- text mining
- knowledge discovery