Inference of Genetic Networks from Steady-State and Pseudo Time-Series of Single-Cell Gene Expression Data using Modified Random Forests.
Shuhei KimuraHirotaka KitajimaMasato TokuhisaMariko OkadaPublished in: SSCI (2023)
Keyphrases
- steady state
- random forests
- gene expression data
- regulatory networks
- microarray
- gene expression
- dna microarray
- random forest
- markov chain
- cancer classification
- decision trees
- logistic regression
- machine learning algorithms
- gene regulatory networks
- microarray data
- ensemble methods
- data sets
- high dimensionality
- gene selection
- high throughput
- feature selection
- gene expression profiles
- motif discovery
- biological data
- molecular biology
- high dimensional data
- bayesian inference
- systems biology
- feature set
- cancer diagnosis