Multi-level gene/MiRNA feature selection using deep belief nets and active learning.
Rania IbrahimNoha A. YousriMohamed A. IsmailNagwa M. El-MakkyPublished in: EMBC (2014)
Keyphrases
- belief nets
- gene expression
- active learning
- feature selection
- gene ontology
- gene expression data
- microarray
- regulatory networks
- microarray data
- gene function
- gene regulation
- gene sets
- microarray datasets
- gene selection
- logistic regression
- belief networks
- high dimensionality
- microarray data analysis
- machine learning
- genome wide
- conditional probabilities
- binding sites
- high throughput
- gene regulatory networks
- fold cross validation
- gene expression profiles
- causal models
- learning algorithm
- computational methods
- information theoretic
- graphical structure
- classification accuracy
- support vector machine
- transcription factors
- systems biology
- cost sensitive
- mutual information
- supervised learning
- semi supervised
- dimensionality reduction
- feature set
- training set
- support vector
- text categorization
- secondary structure
- biological data
- bayesian networks
- data sets