Adapting Random Forests to Predict Obesity-Associated Gene Expression.
Jeremy WattsElexis AllenAhmad MitoubsiAnahita KhojandiJames EalesFarideh Jalali-NajafabadiTheodore PapamarkouPublished in: EMBC (2022)
Keyphrases
- gene expression
- random forests
- microarray
- random forest
- gene expression data
- decision trees
- ensemble methods
- microarray data
- gene expression patterns
- logistic regression
- machine learning algorithms
- gene regulation
- binding sites
- decision tree ensembles
- biological processes
- transcription factors
- gene expression profiles
- regulatory networks
- dna microarray
- neural network
- prediction accuracy
- learning algorithm
- high throughput
- naive bayes
- text classification
- data sources
- data sets