Robustifying genomic classifiers to batch effects via ensemble learning.
Yuqing ZhangPrasad PatilW. Evan JohnsonGiovanni ParmigianiPublished in: Bioinform. (2021)
Keyphrases
- ensemble learning
- ensemble classifier
- generalization ability
- ensemble methods
- multiple classifiers
- individual classifiers
- random forest
- weak learners
- learning algorithm
- concept drift
- prediction accuracy
- weighted voting
- unlabeled data
- training data
- feature selection
- machine learning
- mutual subspace method
- neural network
- base classifiers
- change detection
- classification algorithm
- training samples
- labeled data
- classification accuracy
- support vector
- decision trees