Supervised Dimension Reduction for Large-Scale "Omics" Data With Censored Survival Outcomes Under Possible Non-Proportional Hazards.
Lauren Spirko-BurnsKarthik DevarajanPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2021)
Keyphrases
- dimension reduction
- data sets
- high dimensional data
- image data
- real world
- high dimensional problems
- data mining methods
- data sources
- data mining techniques
- original data
- learning algorithm
- principal component analysis
- feature selection
- feature space
- data analysis
- nearest neighbor
- face recognition
- labeled data
- knowledge discovery
- data mining
- discriminative information
- survival analysis
- training data