Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data.
Makoto YamadaJiliang TangJose Lugo-MartinezErmin HodzicRaunak ShresthaAvishek SahaHua OuyangDawei YinHiroshi MamitsukaSüleyman Cenk SahinalpPredrag RadivojacFilippo MenczerYi ChangPublished in: IEEE Trans. Knowl. Data Eng. (2018)
Keyphrases
- biological data
- microarray data
- feature selection
- high dimensional
- high dimension
- molecular biology
- high dimensionality
- high throughput
- gene expression data
- microarray
- dimensionality reduction
- feature space
- biological networks
- data analysis
- statistical methods
- protein protein interactions
- gene regulatory networks
- systems biology
- low dimensional
- huge volume of data
- high speed
- high dimensional data
- gene expression
- nearest neighbor
- similarity search
- text classification
- knowledge discovery
- biological sequences
- data integration
- data points
- data sources
- feature extraction
- data sets
- knn
- mining graph data