ILGBMSH: an interpretable classification model for the shRNA target prediction with ensemble learning algorithm.
Chengkui ZhaoNan XuJingwen TanQi ChengWeixin XieJiayu XuZhenyu WeiJing YeLei YuWeixing FengPublished in: Briefings Bioinform. (2022)
Keyphrases
- learning algorithm
- prediction accuracy
- neural network ensemble
- training data
- ensemble methods
- machine learning algorithms
- back propagation
- random forests
- neural network
- generalization ability
- learning scheme
- machine learning
- learning tasks
- ensemble learning
- generalization error
- prediction algorithm
- random forest
- nearest neighbour algorithm
- reinforcement learning
- prediction model
- prediction error
- training samples
- target tracking
- ensemble classifier
- base classifiers
- learning problems
- classification algorithm
- supervised learning
- support vector machine
- regression problems
- clustering algorithm
- feature selection