Inference of genetic networks using random forests: Assigning different weights for gene expression data.
Shuhei KimuraMasato TokuhisaMariko OkadaPublished in: J. Bioinform. Comput. Biol. (2019)
Keyphrases
- random forests
- gene expression data
- regulatory networks
- dna microarray
- gene expression
- microarray
- random forest
- gene regulatory networks
- microarray data
- logistic regression
- ensemble methods
- machine learning algorithms
- decision trees
- data sets
- high dimensionality
- gene selection
- feature selection
- high dimensional
- high throughput
- gene expression profiles
- high dimensional data
- cancer classification
- bayesian inference
- molecular biology
- dynamic bayesian networks
- systems biology
- microarray datasets
- cancer diagnosis
- support vector
- data model
- machine learning