GEASS: Neural causal feature selection for high-dimensional biological data.
Mingze DongYuval KlugerPublished in: ICLR (2023)
Keyphrases
- biological data
- microarray data
- high dimensional
- feature selection
- high dimensionality
- gene expression data
- molecular biology
- feature space
- dimensionality reduction
- high throughput
- microarray
- biological networks
- gene expression
- data analysis
- gene regulatory networks
- low dimensional
- high dimensional data
- similarity search
- biological sequences
- protein protein interactions
- data sets
- systems biology
- nearest neighbor
- machine learning
- huge volume of data
- data integration
- knowledge discovery
- data sources
- biological information
- unsupervised learning
- decision trees
- statistical methods
- database systems
- text classification
- feature extraction
- bayesian networks
- data collection
- model selection
- low cost
- semi supervised
- learning algorithm
- data mining
- real world