Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-Series and Static Gene Expression Data.
Shuhei KimuraMasato TokuhisaMariko Okada-HatakeyamaPublished in: BIBE (2018)
Keyphrases
- random forests
- gene expression data
- regulatory networks
- gene expression
- dna microarray
- microarray
- random forest
- gene regulatory networks
- logistic regression
- microarray data
- decision trees
- machine learning algorithms
- data sets
- ensemble methods
- cancer classification
- high dimensionality
- gene selection
- bayesian networks
- molecular biology
- high dimensional
- feature selection
- biological processes
- systems biology
- motif discovery
- prediction accuracy
- high dimensional data
- dynamic bayesian networks
- training set
- data mining
- biological systems
- high throughput