MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning.
Eliza DhungelYassin MreyoudHo-Jin GwakAhmad RajehMina RhoTae-Hyuk AhnPublished in: BMC Bioinform. (2021)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- decision trees
- machine learning algorithms
- supervised machine learning
- supervised learning
- text classification
- prediction accuracy
- supervised classification
- predictive modeling
- classification accuracy
- classification algorithm
- support vector machine
- benchmark datasets
- neural networks and support vector machines
- user interaction
- classification method
- prediction model
- machine learning approaches
- learning algorithm
- data mining
- information extraction
- feature selection
- classification scheme
- gene expression
- knowledge discovery
- feature vectors
- reinforcement learning
- unsupervised learning
- classification rules
- data sets
- feature extraction
- classification models
- training data
- microarray data
- learning tasks
- user friendly
- computer graphics
- sample size
- class labels
- natural language processing
- knowledge acquisition
- training samples