Evaluation of Feature Selection Methods using Bagging and Boosting Ensemble Techniques on High Throughput Biological Data.
Jiamin WuShengjia ChenWenbin ZhouNingya WangZiling FanPublished in: ICBET (2020)
Keyphrases
- biological data
- high throughput
- ensemble methods
- ensemble learning
- base classifiers
- genome wide
- systems biology
- microarray
- molecular biology
- genomic data
- ensemble classifier
- decision trees
- random forest
- random forests
- life sciences
- weak classifiers
- machine learning methods
- biological processes
- learning algorithm
- biological networks
- data acquisition
- protein protein interactions
- microarray data
- mass spectrometry
- gene regulatory networks
- metabolic pathways
- data analysis
- machine learning
- training set
- feature selection
- data sets
- gene expression data
- monitoring system
- data integration
- high dimensional
- clustering algorithm
- real time