Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension.
Shuhua GaoCheng XiangChangkai SunKairong QinTong Heng LeePublished in: ICCA (2018)
Keyphrases
- random forest
- gene regulatory networks
- feature selection
- feature set
- gene expression data
- boolean networks
- cancer classification
- decision trees
- fold cross validation
- dynamic bayesian networks
- reverse engineering
- ensemble methods
- machine learning
- network model
- text categorization
- multi label
- naive bayes
- text classification
- feature extraction
- gene expression
- model selection
- object oriented
- semi supervised
- pairwise
- computer vision
- neural network